Triple
T35254254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resurrecting the Champ |
E1018179
|
entity |
| Predicate | hasBoxingScenes |
P47868
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Resurrecting the Champ, hasBoxingScenes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoxingScenes Context triple: [Resurrecting the Champ, hasBoxingScenes, true]
-
A.
hasFightSceneWith
Indicates that two entities participate together in a fight scene or combat sequence.
-
B.
hasBoxerCharacter
chosen
Indicates that an entity includes or features a character who is a boxer.
-
C.
hasBoxingDivision
Indicates that an entity organizes, includes, or is associated with a specific division or category within the sport of boxing.
-
D.
hasBattleScenes
Indicates that an entity (such as a work of fiction or media) contains scenes depicting battles or combat.
-
E.
hasBoxingAsSport
Indicates that an entity participates in, practices, or is involved with boxing as its sport.
- F. None of above.
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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: May 3, 2026, 4:02 p.m.