Triple
T2494335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House that Griffey Built |
E52119
|
entity |
| Predicate | associatedPlayerRole |
P39782
|
FINISHED |
| Object | Hall of Fame outfielder |
—
|
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: Hall of Fame outfielder | Statement: [The House that Griffey Built, associatedPlayerRole, Hall of Fame outfielder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPlayerRole Context triple: [The House that Griffey Built, associatedPlayerRole, Hall of Fame outfielder]
-
A.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
-
B.
actingRoleType
Indicates the specific type or category of role an entity performs when acting in a particular capacity or function.
-
C.
roleInLeagueHistory
Indicates the specific function, contribution, or significance an entity has had within the historical development or narrative of a league.
-
D.
roleAtSportsTeam
Indicates the specific position or function an individual holds within a sports team.
-
E.
playsInPosition
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd193fe7881909b08768c44b15049 |
completed | March 7, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69abd0b980b481908d4932bcea4a6167 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1318f7881908a8fc42943df4879 |
completed | March 7, 2026, 7:18 a.m. |
Created at: March 6, 2026, 9:45 p.m.