Triple
T2728566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evander Holyfield |
E60253
|
entity |
| Predicate | olympicWeightClass |
P8068
|
FINISHED |
| Object | light heavyweight |
—
|
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: light heavyweight | Statement: [Evander Holyfield, olympicWeightClass, light heavyweight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicWeightClass Context triple: [Evander Holyfield, olympicWeightClass, light heavyweight]
-
A.
weightClass
chosen
Indicates the categorical grouping of an entity based on its weight range or mass classification.
-
B.
OlympicGoldMedalSport
Indicates that the subject sport is one in which the object athlete or team has won an Olympic gold medal.
-
C.
averageWeight
Indicates the typical or mean weight value associated with an entity or group of entities.
-
D.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
E.
OlympicStatus
Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaeaee388190a21e7fa0b8f83546 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.