Triple
T3988665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highlander |
E86934
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Peter S. Davis |
E498844
|
NE FINISHED |
How this triple was built (2 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: Peter S. Davis | Statement: [Highlander, producer, Peter S. Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter S. Davis Context triple: [Highlander, producer, Peter S. Davis]
-
A.
Peter S. Davis
chosen
Peter S. Davis is a film producer best known for his work on genre films, including the Highlander franchise.
-
B.
Peter S. Seaman
Peter S. Seaman is an American screenwriter best known for co-writing major Hollywood films such as "Who Framed Roger Rabbit" and "Shrek the Third."
-
C.
Peter D. Martin
Peter D. Martin was an American writer, academic, and publisher best known as the co-founder of San Francisco’s influential City Lights Bookstore and its associated publishing house.
-
D.
David C. Evans
David C. Evans was a pioneering American computer scientist and influential academic mentor known for his foundational contributions to computer graphics and systems research, including co-founding Evans & Sutherland.
-
E.
Neil A. Machlis
Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa007344819099515fda367f7016 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfb12cd0e4819082403092672f9fe8 |
completed | March 22, 2026, 9:06 a.m. |
Created at: March 9, 2026, 3:33 p.m.