Triple
T2200638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow White and the Huntsman |
E50479
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Neil Smith
Neil Smith is a film editor known for his work on major feature films, including the fantasy action movie "Snow White and the Huntsman."
|
E248786
|
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: Neil Smith | Statement: [Snow White and the Huntsman, editedBy, Neil Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil Smith Context triple: [Snow White and the Huntsman, editedBy, Neil Smith]
-
A.
David Duffield
David Duffield is an American billionaire entrepreneur and philanthropist best known for founding the enterprise software companies PeopleSoft and Workday.
-
B.
Philip Smith
Philip Smith is a member of the family of Jeffrey Lurie, the owner of the NFL’s Philadelphia Eagles.
-
C.
Peter S. Elliot
Peter S. Elliot is a film editor known for his work on feature films, including the ensemble romantic comedy "Think Like a Man."
-
D.
Marc Ewing
Marc Ewing is an American software engineer and entrepreneur best known as a co-founder of the open-source software company Red Hat.
-
E.
Michael G. Smith
Michael G. Smith is an American Episcopal bishop who has served as the diocesan leader of the Episcopal Diocese of Albany.
- 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: Neil Smith Triple: [Snow White and the Huntsman, editedBy, Neil Smith]
Generated description
Neil Smith is a film editor known for his work on major feature films, including the fantasy action movie "Snow White and the Huntsman."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neil Smith Target entity description: Neil Smith is a film editor known for his work on major feature films, including the fantasy action movie "Snow White and the Huntsman."
-
A.
David Duffield
David Duffield is an American billionaire entrepreneur and philanthropist best known for founding the enterprise software companies PeopleSoft and Workday.
-
B.
Philip Smith
Philip Smith is a member of the family of Jeffrey Lurie, the owner of the NFL’s Philadelphia Eagles.
-
C.
Peter S. Elliot
Peter S. Elliot is a film editor known for his work on feature films, including the ensemble romantic comedy "Think Like a Man."
-
D.
Marc Ewing
Marc Ewing is an American software engineer and entrepreneur best known as a co-founder of the open-source software company Red Hat.
-
E.
Michael G. Smith
Michael G. Smith is an American Episcopal bishop who has served as the diocesan leader of the Episcopal Diocese of Albany.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa06bb4819092d7021358846e5f |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6af5dc2081909d69641ca3bc65ea |
completed | March 9, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_69ae6b9da51c819085beb79a14f5d8b5 |
completed | March 9, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c2a465c8190a9fe2a465e9ac3f0 |
completed | March 9, 2026, 6:43 a.m. |
Created at: March 4, 2026, 7:46 p.m.