Triple
T3341947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolittle |
E70278
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Craig Alpert
Craig Alpert is a film editor known for his work on major Hollywood comedies and studio features.
|
E445761
|
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: Craig Alpert | Statement: [Dolittle, editedBy, Craig Alpert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Alpert Context triple: [Dolittle, editedBy, Craig Alpert]
-
A.
Robert N. Fitch
Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
-
B.
Allen M. Davey
Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
-
C.
James A. Allison
James A. Allison was an American entrepreneur and industrialist best known as one of the founders of the Indianapolis Motor Speedway and the Allison Engineering Company, a major aircraft engine manufacturer.
-
D.
John Requa
John Requa is an American screenwriter and director known for co-writing films such as "Bad Santa," "I Love You Phillip Morris," and "Jungle Cruise."
-
E.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
- 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: Craig Alpert Triple: [Dolittle, editedBy, Craig Alpert]
Generated description
Craig Alpert is a film editor known for his work on major Hollywood comedies and studio features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Craig Alpert Target entity description: Craig Alpert is a film editor known for his work on major Hollywood comedies and studio features.
-
A.
Robert N. Fitch
Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
-
B.
Allen M. Davey
Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
-
C.
James A. Allison
James A. Allison was an American entrepreneur and industrialist best known as one of the founders of the Indianapolis Motor Speedway and the Allison Engineering Company, a major aircraft engine manufacturer.
-
D.
John Requa
John Requa is an American screenwriter and director known for co-writing films such as "Bad Santa," "I Love You Phillip Morris," and "Jungle Cruise."
-
E.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1ee711481909c0d921f1b5b8562 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb808e7f94819086fbad85d6aed33e |
completed | March 19, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69bd3a55a4808190b144f6c4ae40593d |
completed | March 20, 2026, 12:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd3b1d98408190b2c8506281fe8a6b |
completed | March 20, 2026, 12:18 p.m. |
Created at: March 8, 2026, 3:12 p.m.