Triple
T22058315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvin Hagler vs. Roberto Durán |
E545080
|
entity |
| Predicate | fighter2Status |
P146454
|
FINISHED |
| Object | former lightweight champion |
—
|
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: former lightweight champion | Statement: [Marvin Hagler vs. Roberto Durán, fighter2Status, former lightweight champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fighter2Status Context triple: [Marvin Hagler vs. Roberto Durán, fighter2Status, former lightweight champion]
-
A.
fighter2
Indicates that the subject is the second participant (opponent) in a fighting or combat relationship or event.
-
B.
fighter1
Indicates that the subject is the first participant or primary combatant in a fight or competitive physical confrontation.
-
C.
fighterNumber
Indicates the identifying number assigned to a fighter within a given context or event.
-
D.
militaryWingStatus
Indicates the status or condition of an entity’s military wing, such as whether it is active, inactive, designated, or otherwise classified.
-
E.
fighterType
Indicates the specific combat or fighting style category that an entity belongs to.
- F. None of above. chosen
Provenance (4 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285959f48190b89527b3f9e7ab11 |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:27 p.m.