Triple
T22428109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey Boy |
E554425
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Christopher Leggett
Christopher Leggett is a film producer best known for his work on acclaimed independent projects such as the drama film "Honey Boy."
|
E1546760
|
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: Christopher Leggett | Statement: [Honey Boy, producer, Christopher Leggett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Leggett Context triple: [Honey Boy, producer, Christopher Leggett]
-
A.
Mark Leggett
Mark Leggett is an American composer and guitarist known for scoring film and television projects, including the TV movie "Dolly Parton's Coat of Many Colors."
-
B.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
C.
Adrian Legg
Adrian Legg is a British fingerstyle guitarist and composer renowned for his innovative acoustic techniques and use of altered tunings.
-
D.
Nicholas Campbell
Nicholas Campbell is a Canadian actor best known for his work in film and television, including his lead role in the crime drama series "Da Vinci's Inquest."
-
E.
Brian Ruckley
Brian Ruckley is a Scottish fantasy and comic book writer best known in comics for scripting IDW Publishing’s main Transformers series.
- 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: Christopher Leggett Triple: [Honey Boy, producer, Christopher Leggett]
Generated description
Christopher Leggett is a film producer best known for his work on acclaimed independent projects such as the drama film "Honey Boy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christopher Leggett Target entity description: Christopher Leggett is a film producer best known for his work on acclaimed independent projects such as the drama film "Honey Boy."
-
A.
Mark Leggett
Mark Leggett is an American composer and guitarist known for scoring film and television projects, including the TV movie "Dolly Parton's Coat of Many Colors."
-
B.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
C.
Adrian Legg
Adrian Legg is a British fingerstyle guitarist and composer renowned for his innovative acoustic techniques and use of altered tunings.
-
D.
Nicholas Campbell
Nicholas Campbell is a Canadian actor best known for his work in film and television, including his lead role in the crime drama series "Da Vinci's Inquest."
-
E.
Brian Ruckley
Brian Ruckley is a Scottish fantasy and comic book writer best known in comics for scripting IDW Publishing’s main Transformers series.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2f054c819093fbe173c8a4a544 |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4de786dc81908c7edb78dac6db36 |
completed | May 18, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_6a0b51c9c22881909459b935a8d822f4 |
completed | May 18, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b526a001881908773ddb244107115 |
completed | May 18, 2026, 5:54 p.m. |
Created at: April 16, 2026, 8:47 p.m.