Triple
T2927303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Pettit |
E78875
|
entity |
| Predicate | numberOfTimesAllNBASecondTeam |
P10047
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Bob Pettit, numberOfTimesAllNBASecondTeam, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesAllNBASecondTeam Context triple: [Bob Pettit, numberOfTimesAllNBASecondTeam, 1]
-
A.
NBAAllNBASecondTeamSelections
chosen
Indicates the number of times an entity has been selected to the NBA All-NBA Second Team.
-
B.
NBAAllDefensiveSecondTeamSelections
Indicates the number of times an entity has been selected to the NBA All-Defensive Second Team.
-
C.
NBAAllRookieSecondTeam
Indicates that a player was selected to the NBA All-Rookie Second Team for a given season.
-
D.
NBAAllNBASelection
Indicates that a player has been selected to an All-NBA Team (First, Second, or Third Team) for a given NBA season.
-
E.
NBAAllStarSelections
Indicates the number of times an individual has been selected to participate in the NBA All-Star Game.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:55 p.m.