Triple
T15063552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Target |
E379697
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Pik van Cleef |
E920413
|
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: Pik van Cleef | Statement: [Hard Target, hasCharacter, Pik van Cleef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pik van Cleef Context triple: [Hard Target, hasCharacter, Pik van Cleef]
-
A.
Pik van Cleef
chosen
Pik van Cleef is a fictional character best known as the main villain in the 1993 action film "Hard Target," where he serves as a ruthless mercenary antagonist.
-
B.
Van Kleiss
Van Kleiss is the primary antagonist in the animated series "Generator Rex," a brilliant but ruthless EVO scientist who seeks to control nanite-powered beings and reshape the world to his vision.
-
C.
Tatischeff
Tatischeff is the original family surname of French filmmaker and actor Jacques Tati, known for his influential comedic films and the character Monsieur Hulot.
-
D.
Paquin
Paquin is a surname most prominently associated with Academy Award–winning actress Anna Paquin.
-
E.
Scarphe
Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c8b3ac8190b8fc921b6e6eeed5 |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.