Triple
T36588477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Mitchell |
E902595
|
entity |
| Predicate | setPersonalBestIn |
P185902
|
FINISHED |
| Object | 1991 |
—
|
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: 1991 | Statement: [Dennis Mitchell, setPersonalBestIn, 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setPersonalBestIn Context triple: [Dennis Mitchell, setPersonalBestIn, 1991]
-
A.
personalBest
Indicates that one entity represents the best performance or achievement ever attained personally by another entity.
-
B.
setPersonalBestHeptathlonYear
Indicates the year in which an entity achieved their personal best performance in the heptathlon.
-
C.
setPersonalBestLongJumpYear
Indicates the year in which an entity achieved its personal best performance in the long jump event.
-
D.
personalBest800m
Indicates that an entity holds or represents a person's best performance or fastest recorded time in the 800-meter event.
-
E.
personalBestShortProgramEvent
Indicates the event in which an individual achieved their personal best score in the short program.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
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.