Triple
T13352989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Breakers |
E318114
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object | Cat Whitehill |
E538989
|
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: Cat Whitehill | Statement: [Boston Breakers, notablePlayer, Cat Whitehill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cat Whitehill Context triple: [Boston Breakers, notablePlayer, Cat Whitehill]
-
A.
Cat Whitehill
chosen
Cat Whitehill is a former American professional soccer defender and U.S. women’s national team member who played in the Women’s United Soccer Association and Women’s Professional Soccer leagues.
-
B.
Annalee Whitmore
Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
-
C.
Charlotte Kaletta
Charlotte Kaletta was the long-time partner of Fritz Pfeffer, the German-Jewish dentist who hid with Anne Frank and others in the Secret Annex during World War II.
-
D.
Lisa Wilhoit
Lisa Wilhoit is an American actress best known for her role on the cult teen drama series "My So-Called Life."
-
E.
Kate Dibiasky
Kate Dibiasky is a fictional astronomy PhD candidate from the film "Don't Look Up" who discovers a planet-killing comet and becomes a central figure in the effort to warn humanity.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7397b871c819081272c48b3210e00 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:32 p.m.