Triple
T18099598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McClane |
E433178
|
entity |
| Predicate | notableEnemy |
P11706
|
FINISHED |
| Object | Simon Gruber |
—
|
NE NERFINISHED |
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: Simon Gruber | Statement: [John McClane, notableEnemy, Simon Gruber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Gruber Context triple: [John McClane, notableEnemy, Simon Gruber]
-
A.
Simon Gruber
chosen
Simon Gruber is the cunning German terrorist and mastermind villain in the action film "Die Hard with a Vengeance."
-
B.
Levi Leiter
Levi Leiter was a prominent 19th-century American businessman and co-founder of the Chicago department store that became Marshall Field & Company, as well as a notable real estate investor.
-
C.
Frank Gruber
Frank Gruber was an American writer best known for his prolific work in pulp fiction, mystery and Western novels, and Hollywood screenplays.
-
D.
Mr. Gruber
Mr. Gruber is a kindly antique shop owner in the Paddington Bear stories who serves as Paddington’s close human friend and guide in London.
-
E.
Carl Fieger
Carl Fieger was a German architect and designer associated with the Bauhaus movement, known for his innovative modernist buildings and furniture designs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb521448190b97d2b2aa7e4d7e6 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:27 a.m.