Triple
T9690580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvel's Spider-Man |
E234524
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Kingpin |
E523775
|
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: Kingpin | Statement: [Marvel's Spider-Man, antagonist, Kingpin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingpin Context triple: [Marvel's Spider-Man, antagonist, Kingpin]
-
A.
Kingpin
Kingpin is a 1996 sports comedy film about a washed-up former bowling prodigy who mentors an Amish bowling talent, known for its offbeat humor and cult following.
-
B.
Kingpin
chosen
Kingpin is a powerful crime lord in the Marvel Universe, best known as a major adversary of heroes like Spider-Man and Daredevil.
-
C.
Street Kings
Street Kings is a 2008 crime thriller film about corruption and moral conflict within the Los Angeles Police Department, starring Keanu Reeves and directed by David Ayer.
-
D.
The Gangster
The Gangster is a 1947 American film noir crime drama noted for its stylized cinematography and bleak portrayal of a small-time racketeer’s downfall.
-
E.
Machine Gun Corps
The Machine Gun Corps was a specialized British Army unit formed during World War I to provide concentrated machine-gun fire support on the battlefield.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d0422e88190a234ba74eb0dad25 |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19118874c81909a97f874b1dc2db8 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:17 p.m.