Triple
T37973565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Pioneers men's lacrosse |
E947358
|
entity |
| Predicate | BillTierneyPreviousAchievement |
P74294
|
FINISHED |
| Object | multiple NCAA championships at Princeton |
—
|
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: multiple NCAA championships at Princeton | Statement: [Denver Pioneers men's lacrosse, BillTierneyPreviousAchievement, multiple NCAA championships at Princeton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BillTierneyPreviousAchievement Context triple: [Denver Pioneers men's lacrosse, BillTierneyPreviousAchievement, multiple NCAA championships at Princeton]
-
A.
winnerPreviouslyWon
chosen
Indicates that the winner has won the same or a related contest/event at least once before.
-
B.
achievedPodiumIn
Indicates that an entity finished in a top-ranked (podium) position in a specified competition or event.
-
C.
partOfTier
Indicates that one entity belongs to, is included within, or forms a component of a specified tier or level in a hierarchical structure.
-
D.
namedAfterTrophy
Indicates that one entity has been given a name derived from or in honor of a particular trophy.
-
E.
trophyWonBy
Indicates that a particular trophy or award is obtained or earned by a specific entity (such as a person or team).
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.