Triple
T27530729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McEnroe |
E694966
|
entity |
| Predicate | singlesRecord |
P163274
|
FINISHED |
| Object | ~877–198 |
—
|
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: ~877–198 | Statement: [John McEnroe, singlesRecord, ~877–198]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singlesRecord Context triple: [John McEnroe, singlesRecord, ~877–198]
-
A.
internationalRecord
Indicates that an entity holds or has achieved a recognized performance, participation, or achievement record at the international level.
-
B.
doublesRecord
Indicates that the subject holds a record or notable achievement specifically in doubles competition or performance.
-
C.
mainSingles
Indicates that the subject is the primary or most prominent single(s) released from the associated work or artist.
-
D.
highestSinglesRanking
Indicates the relationship where a specific singles ranking represents the best (numerically highest) singles position an entity has ever achieved.
-
E.
numberOfSingles
Indicates the count of individual single items (such as single tracks, units, or occurrences) associated with a given entity.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6369a22688190a5674191c90a5d12 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 1:26 p.m.