Triple
T34397757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Lanier |
E882879
|
entity |
| Predicate | teamInWorldSeriesAsPlayer |
P179160
|
FINISHED |
| Object | San Francisco Giants |
—
|
NE NERFINISHED |
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: San Francisco Giants | Statement: [Hal Lanier, teamInWorldSeriesAsPlayer, San Francisco Giants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamInWorldSeriesAsPlayer Context triple: [Hal Lanier, teamInWorldSeriesAsPlayer, San Francisco Giants]
-
A.
worldSeriesChampionAsPlayer
Indicates that the subject person has won a World Series championship in the role of a player.
-
B.
playedInWorldSeriesWith
Indicates that two or more players were teammates in at least one World Series.
-
C.
workedInWorldSeries
Indicates that a person participated in a professional capacity (such as player, coach, or umpire) in at least one World Series baseball championship.
-
D.
resultedInWorldSeriesAppearanceFor
Indicates that one event, action, or outcome caused or led to a team making an appearance in the World Series.
-
E.
worldSeriesAppearancesAsPlayer
Indicates the number of times an individual has appeared as a player in World Series games.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71c33edac8190a59f6ff19b265fc5 |
completed | May 3, 2026, 9:58 a.m. |
Created at: May 1, 2026, 1:59 a.m.