Triple
T4356053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Hard |
E98150
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lawrence Gordon |
E164940
|
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: Lawrence Gordon | Statement: [Die Hard, producer, Lawrence Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence Gordon Context triple: [Die Hard, producer, Lawrence Gordon]
-
A.
Lawrence Gordon
chosen
Lawrence Gordon is an American film producer known for his work on major Hollywood action, horror, and fantasy films, including the Hellboy series.
-
B.
Gordon Malloy
Gordon Malloy is a wisecracking, skilled helmsman and loyal crew member aboard the exploratory spaceship in the sci-fi comedy-drama series "The Orville."
-
C.
Lawrence Cummings
Lawrence Cummings is a British conductor and harpsichordist renowned for his interpretations of Baroque music and leadership of major early music ensembles and festivals.
-
D.
Lawrence Smith
Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
-
E.
Lawrence Guth
Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c5773481908446d84897e7a533 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5d00e20819095114787f95e3858 |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:16 p.m.