Triple
T21175038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hut Stricklin |
E521788
|
entity |
| Predicate | cupSeriesTopTens |
P143163
|
FINISHED |
| Object | 29 |
—
|
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: 29 | Statement: [Hut Stricklin, cupSeriesTopTens, 29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cupSeriesTopTens Context triple: [Hut Stricklin, cupSeriesTopTens, 29]
-
A.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
-
B.
eloRankingBestYear
Indicates the year in which an entity achieved its highest Elo ranking.
-
C.
topScorerPoints
Indicates the number of points scored by the top-scoring entity in a given context or event.
-
D.
hasTopTenShootout
Indicates that an entity is involved in or associated with a top ten shootout event, typically a competitive session determining the ten fastest or best performers.
-
E.
leagueLeader
Indicates that the subject entity is currently ranked first or holds the top position within a specified league or competitive grouping.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7271597288190b04baff9ca8d866c |
completed | April 21, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3 p.m.