Triple
T14990369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleepover |
E373818
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Byron Shah
Byron Shah is a cinematographer known for his work on films such as "Sleepover."
|
E1131546
|
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: Byron Shah | Statement: [Sleepover, cinematographyBy, Byron Shah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byron Shah Context triple: [Sleepover, cinematographyBy, Byron Shah]
-
A.
Byron Douglas
Byron Douglas is an actor known for his role in the animated series "Speedy."
-
B.
Byron Corbett
Byron Corbett is an individual notable enough to be recognized as a prominent bearer of the surname Corbett.
-
C.
Jonathan Shahn
Jonathan Shahn is an American sculptor and printmaker known for his figurative works and as the son of artists Ben Shahn and Bernarda Bryson Shahn.
-
D.
Byron Hadley
Byron Hadley is a brutal and authoritarian prison guard captain from Stephen King’s novella “Rita Hayworth and Shawshank Redemption” and its film adaptation “The Shawshank Redemption.”
-
E.
Byron Beck
Byron Beck was a standout center and fan favorite for the Denver Rockets/Nuggets franchise, known for his rebounding, toughness, and status as one of the team’s earliest stars in the ABA.
- 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: Byron Shah Triple: [Sleepover, cinematographyBy, Byron Shah]
Generated description
Byron Shah is a cinematographer known for his work on films such as "Sleepover."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Byron Shah Target entity description: Byron Shah is a cinematographer known for his work on films such as "Sleepover."
-
A.
Byron Douglas
Byron Douglas is an actor known for his role in the animated series "Speedy."
-
B.
Byron Corbett
Byron Corbett is an individual notable enough to be recognized as a prominent bearer of the surname Corbett.
-
C.
Jonathan Shahn
Jonathan Shahn is an American sculptor and printmaker known for his figurative works and as the son of artists Ben Shahn and Bernarda Bryson Shahn.
-
D.
Byron Hadley
Byron Hadley is a brutal and authoritarian prison guard captain from Stephen King’s novella “Rita Hayworth and Shawshank Redemption” and its film adaptation “The Shawshank Redemption.”
-
E.
Byron Beck
Byron Beck was a standout center and fan favorite for the Denver Rockets/Nuggets franchise, known for his rebounding, toughness, and status as one of the team’s earliest stars in the ABA.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7148a308190a687f4d0d61397c6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969683348190bb4688f24227af88 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe98a230948190b35e2883475cff33 |
completed | May 9, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe993c6094819086f0de1743272fd4 |
completed | May 9, 2026, 2:17 a.m. |
Created at: April 10, 2026, 2:53 a.m.