Triple
T2406122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Rickman |
E50279
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Die Hard |
E98150
|
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: Die Hard | Statement: [Alan Rickman, notableWork, Die Hard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Die Hard Context triple: [Alan Rickman, notableWork, Die Hard]
-
A.
Die Hard (1988 film)
chosen
Die Hard (1988 film) is a landmark 1980s action movie starring Bruce Willis as NYPD officer John McClane, who battles terrorists in a Los Angeles skyscraper and helped redefine the modern action genre.
-
B.
DieHard
DieHard is a well-known brand of automotive batteries recognized for their durability and long-lasting performance.
-
C.
Die Hard with a Vengeance
Die Hard with a Vengeance is a 1995 action thriller film in the Die Hard franchise, featuring Bruce Willis and Samuel L. Jackson as unlikely partners trying to stop a terrorist wreaking havoc in New York City.
-
D.
The Die-Hards
The Die-Hards was the famous nickname of the Middlesex Regiment of the British Army, renowned for its steadfast courage and refusal to retreat in battle.
-
E.
Point Blank
Point Blank is a segment or component of the larger work titled "The River," likely representing a distinct chapter, track, or section within that overall composition.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fb78408190b99fa8b4dfaaa75d |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3e95334819093923b0c36b968f2 |
completed | March 9, 2026, 11:50 a.m. |
Created at: March 4, 2026, 7:58 p.m.