Triple
T1951422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego State Aztecs baseball |
E42165
|
entity |
| Predicate | producedMLBPlayer |
P5829
|
FINISHED |
| Object | Mark Grace |
E219060
|
NE 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: Mark Grace | Statement: [San Diego State Aztecs baseball, producedMLBPlayer, Mark Grace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Grace Context triple: [San Diego State Aztecs baseball, producedMLBPlayer, Mark Grace]
-
A.
Mark Grace
chosen
Mark Grace is a former Major League Baseball first baseman, best known for his long tenure with the Chicago Cubs and his reputation as a consistent contact hitter and defensive standout.
-
B.
Sean Cahill
Sean Cahill is a relative of former Australian professional soccer player Tim Cahill.
-
C.
Darren Gilshenan
Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
-
D.
Ben Scrivens
Ben Scrivens is a Canadian former professional ice hockey goaltender who played in the NHL for teams including the Toronto Maple Leafs, Edmonton Oilers, and Montreal Canadiens.
-
E.
Oliver Hudson
Oliver Hudson is an American actor known for his roles in television series such as "Rules of Engagement," "Nashville," and "Scream Queens."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb7c698748190a10da0901952df07 |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae031a46d481908a6e0d78bfa9c66f |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:36 p.m.