Triple
T6702683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teri Garr |
E152918
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Terry Ann Garr |
E152918
|
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: Terry Ann Garr | Statement: [Teri Garr, birthName, Terry Ann Garr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Ann Garr Context triple: [Teri Garr, birthName, Terry Ann Garr]
-
A.
Jami Gertz
Jami Gertz is an American actress known for her roles in 1980s films and television series, including standout performances in movies like "The Lost Boys" and "Quicksilver."
-
B.
Lauren Holly
Lauren Holly is an American-Canadian actress best known for her roles in films like "Dumb and Dumber" and the TV series "NCIS."
-
C.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
D.
Teri Garr
chosen
Teri Garr is an American actress known for her versatile performances in films such as "Young Frankenstein," "Close Encounters of the Third Kind," and "Tootsie."
-
E.
Kristy McNichol
Kristy McNichol is an American actress best known for her Emmy-winning role on the TV drama "Family" and her work in films like "Little Darlings" and "Only When I Laugh."
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0e5eb0c81908c4fa3febd2d23ca |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7423de3808190866d0ebc3bfc7530 |
completed | March 28, 2026, 2:51 a.m. |
Created at: March 27, 2026, 2:06 p.m.