Triple
T18856219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Bauer |
E461175
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Teri Bauer II |
—
|
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: Teri Bauer II | Statement: [Kim Bauer, child, Teri Bauer II]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teri Bauer II Context triple: [Kim Bauer, child, Teri Bauer II]
-
A.
Teri Bauer
chosen
Teri Bauer is a fictional character from the television series "24," known as Jack Bauer's wife and a central figure in the show's first season storyline.
-
B.
Denise Bauer
Denise Bauer is a fictional attorney character from the television series "Boston Legal," portrayed by actress Julie Bowen.
-
C.
Terri DeMarco
Terri DeMarco is best known as the wife of American character actor Murray Hamilton, who appeared in films such as "Jaws" and "The Graduate."
-
D.
Renee Baumgartner
Renee Baumgartner is a collegiate sports executive and former coach known for leading the athletic department at Santa Clara University.
-
E.
Laurie Borg
Laurie Borg is a film and television producer known for his work on acclaimed projects including the biographical drama "The Two Popes."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05d0bb8819094d0447441f85b57 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.