Triple
T2379266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richie McCaw |
E46272
|
entity |
| Predicate | testTriesScored |
P38358
|
FINISHED |
| Object | 27 |
—
|
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: 27 | Statement: [Richie McCaw, testTriesScored, 27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testTriesScored Context triple: [Richie McCaw, testTriesScored, 27]
-
A.
topTryScorerTries
Indicates the number of tries scored by the top try scorer in a given context or competition.
-
B.
topTryScorer
Indicates that the subject is the player who scored the highest number of tries in a given competition, season, or context.
-
C.
topTryScorerTeam
Indicates that a team is the one for which a given player is the top try scorer.
-
D.
hasScoredFor
Indicates that one entity has scored points, goals, or similar achievements on behalf of another entity, such as a team, organization, or side.
-
E.
scoredFor
Indicates that one entity achieved points or a score on behalf of another entity, such as a player scoring for a team.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7974aa481908799ef2f854d1c9d |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6f4245881909282b3184a288e2a |
completed | March 7, 2026, 6:34 a.m. |
Created at: March 4, 2026, 7:57 p.m.