Triple
T7174324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlekamp–Massey algorithm |
E167281
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
James Massey
James Massey was an American information theorist and cryptographer known for his influential contributions to coding theory and cryptographic algorithms.
|
E646778
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: James Massey | Statement: [Berlekamp–Massey algorithm, namedAfter, James Massey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Massey Context triple: [Berlekamp–Massey algorithm, namedAfter, James Massey]
-
A.
Jamie Massey
Jamie Massey is a character in the film "While We're Young," appearing as part of the story’s ensemble of relationships and generational contrasts.
-
B.
Greg McEwan
Greg McEwan is a child of the acclaimed British novelist Ian McEwan.
-
C.
William Atherton
William Atherton is an American character actor best known for playing arrogant and antagonistic authority figures in films such as Ghostbusters and Die Hard.
-
D.
Matthew Landon
Matthew Landon is a film editor known for his work on the animated feature "Captain Underpants: The First Epic Movie."
-
E.
Richard Pryce
Richard Pryce was a British novelist and playwright of the late 19th and early 20th centuries, known for his socially observant fiction and contributions to Victorian and Edwardian literature.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: James Massey Triple: [Berlekamp–Massey algorithm, namedAfter, James Massey]
Generated description
James Massey was an American information theorist and cryptographer known for his influential contributions to coding theory and cryptographic algorithms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Massey Target entity description: James Massey was an American information theorist and cryptographer known for his influential contributions to coding theory and cryptographic algorithms.
-
A.
Jamie Massey
Jamie Massey is a character in the film "While We're Young," appearing as part of the story’s ensemble of relationships and generational contrasts.
-
B.
Greg McEwan
Greg McEwan is a child of the acclaimed British novelist Ian McEwan.
-
C.
William Atherton
William Atherton is an American character actor best known for playing arrogant and antagonistic authority figures in films such as Ghostbusters and Die Hard.
-
D.
Matthew Landon
Matthew Landon is a film editor known for his work on the animated feature "Captain Underpants: The First Epic Movie."
-
E.
Richard Pryce
Richard Pryce was a British novelist and playwright of the late 19th and early 20th centuries, known for his socially observant fiction and contributions to Victorian and Edwardian literature.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88d770c8190b8d06dcd08447c08 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b921b1e48190b25c1337f6187174 |
completed | March 28, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69c7b9b0867081909be41ffb8b088e16 |
completed | March 28, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba1a770c819085a25eb796312822 |
completed | March 28, 2026, 11:23 a.m. |
Created at: March 27, 2026, 2:48 p.m.