Triple
T13796599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Hard 2 |
E331532
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Gordon Company |
E433182
|
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: Gordon Company | Statement: [Die Hard 2, productionCompany, Gordon Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gordon Company Context triple: [Die Hard 2, productionCompany, Gordon Company]
-
A.
Gordon Company
chosen
Gordon Company is a film production company best known for producing the action classic "Die Hard."
-
B.
Gordon Company
Gordon Company is a film production company best known for its involvement in creating the acclaimed baseball fantasy movie "Field of Dreams."
-
C.
Granox Company
Granox Company is a film production company known for producing the movie "Father Goose."
-
D.
Griffin Company
Griffin Company is a real estate development firm known for its role in creating and managing the University Village shopping center in Seattle.
-
E.
Galvin Manufacturing Corporation
Galvin Manufacturing Corporation was the original name of the company that later became Motorola, a major American telecommunications and electronics manufacturer.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08508688190b7e8c33e6b65e25d |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.