Triple
T13911695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Meg |
E334512
|
entity |
| Predicate | basedOnAuthor |
P2806
|
FINISHED |
| Object |
Steve Alten
Steve Alten is an American author best known for his science-fiction horror novels featuring giant prehistoric sharks, particularly the "Meg" series.
|
E1067232
|
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: Steve Alten | Statement: [The Meg, basedOnAuthor, Steve Alten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Alten Context triple: [The Meg, basedOnAuthor, Steve Alten]
-
A.
Anthony Moore
Anthony Moore is a lesser-known sibling of Annie Moore, the first immigrant processed at Ellis Island in the United States.
-
B.
David Anspaugh
David Anspaugh is an American film and television director best known for directing the sports dramas "Hoosiers" and "Rudy."
-
C.
F. Paul Wilson
F. Paul Wilson is an American author best known for his science fiction, horror, and thriller novels, including the "Repairman Jack" series.
-
D.
Garth Craven
Garth Craven is a film editor known for his work on major Hollywood productions, including the comedy sequel "Miss Congeniality 2: Armed and Fabulous."
-
E.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
- 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: Steve Alten Triple: [The Meg, basedOnAuthor, Steve Alten]
Generated description
Steve Alten is an American author best known for his science-fiction horror novels featuring giant prehistoric sharks, particularly the "Meg" series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Alten Target entity description: Steve Alten is an American author best known for his science-fiction horror novels featuring giant prehistoric sharks, particularly the "Meg" series.
-
A.
Anthony Moore
Anthony Moore is a lesser-known sibling of Annie Moore, the first immigrant processed at Ellis Island in the United States.
-
B.
David Anspaugh
David Anspaugh is an American film and television director best known for directing the sports dramas "Hoosiers" and "Rudy."
-
C.
F. Paul Wilson
F. Paul Wilson is an American author best known for his science fiction, horror, and thriller novels, including the "Repairman Jack" series.
-
D.
Garth Craven
Garth Craven is a film editor known for his work on major Hollywood productions, including the comedy sequel "Miss Congeniality 2: Armed and Fabulous."
-
E.
Paul Darrow
Paul Darrow was the son of famed American lawyer Clarence Darrow and a businessman who managed many of his father's financial affairs.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2723461881908376b5509ee0d530 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c72879e48190ac01d0a2023b098c |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c7b9e4888190822501d439df142a |
completed | May 3, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c83e31d4819094209406fc99456a |
completed | May 3, 2026, 10:12 p.m. |
Created at: April 9, 2026, 10:16 p.m.