Triple
T14559106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love? |
E341620
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Villain |
E749965
|
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: Villain | Statement: [Love?, hasTrack, Villain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villain Context triple: [Love?, hasTrack, Villain]
-
A.
Villain
chosen
Villain is a 2002 Tamil action-drama film starring Ajith Kumar in a dual role, known for its emotional storyline and commercial success.
-
B.
Villains
Villains is a 2017 studio album by American rock band Queens of the Stone Age that blends hard rock and danceable, groove-oriented production overseen by producer Mark Ronson.
-
C.
Villano
Villano is a surname and variant of Villani, associated with individuals of Italian or Spanish heritage.
-
D.
The Villain
"The Villain" is a poem by Welsh poet W. H. Davies that reflects on guilt, regret, and the unintended harm caused by a seemingly minor act.
-
E.
Villain (1971 film)
Villain (1971 film) is a British crime drama notable for its gritty portrayal of London’s underworld and for featuring Ian McShane alongside Richard Burton.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac003b08190923d469b3422cdab |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.