Triple
T14942389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eragon |
E372562
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Peter Buchman |
E899127
|
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 Buchman | Statement: [Eragon, screenwriter, Peter Buchman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Buchman Context triple: [Eragon, screenwriter, Peter Buchman]
-
A.
Peter Buchman
chosen
Peter Buchman is an American screenwriter best known for his work on major Hollywood films, including Jurassic Park III.
-
B.
Sidney Buchman
Sidney Buchman was an American screenwriter and producer best known for his work in Hollywood during the 1930s–1950s, including notable collaborations with major studios and directors.
-
C.
Matthew Budman
Matthew Budman is a film producer known for his work on projects such as the crime drama "Detroit" (2017).
-
D.
Philip Liebmann
Philip Liebmann was the husband of American film actress Linda Darnell.
-
E.
Philip Stein
Philip Stein is a brand best known for its luxury wristwatches and lifestyle accessories that incorporate wellness-focused technologies.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e929f3881908560b8428e72327d |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:38 a.m.