Triple
T6862733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig McRae |
E158320
|
entity |
| Predicate | premiershipYearAsPlayer |
P74171
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Craig McRae, premiershipYearAsPlayer, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premiershipYearAsPlayer Context triple: [Craig McRae, premiershipYearAsPlayer, 2001]
-
A.
notablePremiershipYears
Indicates the years during which an entity held a notable or distinguished premiership (term as prime minister or equivalent head of government).
-
B.
premiershipCount
Indicates the number of premiership titles or championships an entity has won.
-
C.
yearsAsPlayerAtClub
Indicates the number of years a person spent playing for a particular club.
-
D.
captainedPremiershipYear
Indicates the year in which an entity served as captain of a team in a premiership (championship) competition.
-
E.
firstSeasonInPremierLeague
Indicates the season in which an entity (typically a football club) first participated in the Premier League.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6da3b5510819093c5893ea92ac025 |
completed | March 27, 2026, 7:27 p.m. |
Created at: March 27, 2026, 2:21 p.m.