Triple
T33674050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmer Smith |
E862707
|
entity |
| Predicate | grandSlamOpponentTeam |
P177189
|
FINISHED |
| Object | Brooklyn Robins |
—
|
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: Brooklyn Robins | Statement: [Elmer Smith, grandSlamOpponentTeam, Brooklyn Robins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandSlamOpponentTeam Context triple: [Elmer Smith, grandSlamOpponentTeam, Brooklyn Robins]
-
A.
grandSlamSinglesFinalOpponent
Indicates that one person was the opposing player faced by another person in the final match of a Grand Slam singles tennis tournament.
-
B.
grandSlamTeam
Indicates that a team has achieved a grand slam, typically by winning all major qualifying titles or championships within a defined period or competition.
-
C.
helpedWinGrandSlamsWith
Indicates that one entity significantly contributed to another entity’s victories in Grand Slam tournaments.
-
D.
grandSlamTournamentHosted
Indicates that a particular grand slam tennis tournament is hosted or held at a specific location or by a specific organizing entity.
-
E.
otherGrandSlams
Indicates that an entity is associated with Grand Slam tournaments other than a primary or specifically referenced one.
- 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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fae2a7a8819099945d1706a94bfd |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:43 a.m.