Triple
T36570490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Joyner-Kersee |
E902107
|
entity |
| Predicate | heptathlonWorldRecordScore |
P185872
|
FINISHED |
| Object | 7291 |
—
|
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: 7291 | Statement: [Jackie Joyner-Kersee, heptathlonWorldRecordScore, 7291]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heptathlonWorldRecordScore Context triple: [Jackie Joyner-Kersee, heptathlonWorldRecordScore, 7291]
-
A.
setPersonalBestHeptathlonYear
Indicates the year in which an entity achieved their personal best performance in the heptathlon.
-
B.
worldAthleticsLabel
Indicates that an entity is identified by a specific label or designation as defined by World Athletics.
-
C.
leapHeight
Indicates the vertical distance an entity reaches when it jumps or leaps.
-
D.
numberOfFemaleAthletes
Indicates the count of athletes who are female in a given context or group.
-
E.
goldMedalWinnerIn women's 100 metres hurdles
Indicates that the subject is the athlete who won the gold medal in the women's 100 metres hurdles event in a specified competition.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.