Triple
T33331183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Bibby |
E853408
|
entity |
| Predicate | numberOfNCAAChampionshipsAsPlayer |
P204020
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Henry Bibby, numberOfNCAAChampionshipsAsPlayer, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNCAAChampionshipsAsPlayer Context triple: [Henry Bibby, numberOfNCAAChampionshipsAsPlayer, 3]
-
A.
numberOfNCAATournamentAppearances
Indicates the total count of times an entity has participated in the NCAA Tournament.
-
B.
nationalChampionshipGameAppearance
Indicates that an entity has participated in the final game of a national championship competition.
-
C.
NCAATournamentChampionshipGameAppearances
Indicates the number of times an entity has participated in the championship (final) game of the NCAA Tournament.
-
D.
wonConferenceChampionshipsIn
Indicates that an entity has secured one or more conference championship titles in a specified league, sport, or time period.
-
E.
NCAATournamentWins
Indicates the number of games a team has won in NCAA basketball tournaments.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a030d3db2748190b32fcf7b21bd0d0a |
completed | May 12, 2026, 11:21 a.m. |
| PD | Predicate disambiguation | batch_6a030ca6bf388190b2f6931376323da3 |
completed | May 12, 2026, 11:19 a.m. |
| PDg | Predicate description generation | batch_6a030d3d14b48190a1858d37988e7fd6 |
completed | May 12, 2026, 11:21 a.m. |
Created at: May 1, 2026, 1:34 a.m.