Triple
T14053405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Atomic Kid |
E338149
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Maurice Duke
Maurice Duke was a mid-20th-century American film producer known for working on Hollywood features such as the comedy "The Atomic Kid."
|
E1078847
|
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: Maurice Duke | Statement: [The Atomic Kid, producer, Maurice Duke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurice Duke Context triple: [The Atomic Kid, producer, Maurice Duke]
-
A.
Maurice McEndree
Maurice McEndree is a cinematographer known for his work on the film "Faces."
-
B.
Maurice McEndree
Maurice McEndree is a music producer best known for his work on the track "Shadows."
-
C.
Maurice Ransford
Maurice Ransford was a film art director known for his work on mid-20th-century Hollywood productions, including Westerns.
-
D.
Maurice Monroe
Maurice Monroe is a fictional character played by Don Cheadle, best known as a charismatic and morally ambiguous figure in the television series "House of Lies."
-
E.
Maurice Monroe
Maurice Monroe is a central character in the dark comedy series "Black Monday," portrayed as an ambitious, fast-talking Wall Street trader navigating the excesses and chaos of 1980s finance.
- 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: Maurice Duke Triple: [The Atomic Kid, producer, Maurice Duke]
Generated description
Maurice Duke was a mid-20th-century American film producer known for working on Hollywood features such as the comedy "The Atomic Kid."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maurice Duke Target entity description: Maurice Duke was a mid-20th-century American film producer known for working on Hollywood features such as the comedy "The Atomic Kid."
-
A.
Maurice McEndree
Maurice McEndree is a cinematographer known for his work on the film "Faces."
-
B.
Maurice McEndree
Maurice McEndree is a music producer best known for his work on the track "Shadows."
-
C.
Maurice Ransford
Maurice Ransford was a film art director known for his work on mid-20th-century Hollywood productions, including Westerns.
-
D.
Maurice Monroe
Maurice Monroe is a fictional character played by Don Cheadle, best known as a charismatic and morally ambiguous figure in the television series "House of Lies."
-
E.
Maurice Monroe
Maurice Monroe is a central character in the dark comedy series "Black Monday," portrayed as an ambitious, fast-talking Wall Street trader navigating the excesses and chaos of 1980s finance.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8bc54c8190a12f0fc056568538 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65e63b48190bd5bd4a36cd15396 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc76f99808190945fd3621fc183ff |
completed | May 7, 2026, 5:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc807cdc48190a3b9dd940d17dc83 |
completed | May 7, 2026, 5:12 p.m. |
Created at: April 9, 2026, 10:20 p.m.