Triple
T18569592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan Border |
E453841
|
entity |
| Predicate | testHighestScore |
P57161
|
FINISHED |
| Object | 205 |
—
|
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: 205 | Statement: [Allan Border, testHighestScore, 205]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testHighestScore Context triple: [Allan Border, testHighestScore, 205]
-
A.
highestTestScore
chosen
Indicates that one entity has achieved the greatest test score among a specified set or in a given context.
-
B.
highestTestScoreOpponent
Indicates that the related entity is the opponent who achieved the highest test score among all considered opponents.
-
C.
yearOfHighestTestScore
Indicates the specific year in which an entity achieved its highest test score.
-
D.
hasHighest
Indicates that one entity possesses the greatest value, rank, or level in a specified attribute or set compared to all others.
-
E.
highestTestScoreVenue
Indicates the venue at which an entity achieved its highest test score compared to all other venues.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b0075a08190a5d590d36089ca1e |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.