Triple
T36059612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 Goodwill Games |
E1043038
|
entity |
| Predicate | notableAthletesParticipated |
P167312
|
FINISHED |
| Object | Michael Johnson |
E231861
|
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: Michael Johnson | Statement: [1998 Goodwill Games, notableAthletesParticipated, Michael Johnson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAthletesParticipated Context triple: [1998 Goodwill Games, notableAthletesParticipated, Michael Johnson]
-
A.
notableAthlete
Indicates that the subject is a well-known or distinguished athlete associated with the object (such as a sport, team, or organization).
-
B.
notableAthleteFrom
Indicates that an athlete is notably associated with or originates from a particular place or region.
-
C.
notableSportIncluded
Indicates that a particular sport is prominently featured or included as a notable component within something, such as an event, program, or context.
-
D.
notableCharacterSport
Indicates that a notable character is associated with, participates in, or is prominently linked to a particular sport.
-
E.
competitionInNotableEvent
chosen
Indicates that an entity participated as a competitor in a specific notable event or competition.
- F. None of above.
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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38cba75210819090607cf949aa519c |
completed | June 22, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.