Triple
T15894352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Meara |
E385413
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Anne Meara |
E385413
|
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: Anne Meara | Statement: [Anne Meara, fullName, Anne Meara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Meara Context triple: [Anne Meara, fullName, Anne Meara]
-
A.
Anne Meara
chosen
Anne Meara was an American actress and comedian, best known as half of the comedy duo Stiller and Meara and for her extensive work in television, film, and theater.
-
B.
Debra Jo Rupp
Debra Jo Rupp is an American actress best known for her comedic role as the quirky, loving mother Kitty Forman on the television sitcom That '70s Show.
-
C.
Alley Mills
Alley Mills is an American actress best known for her role as Norma Arnold, the mother on the classic television series "The Wonder Years."
-
D.
Piper Laurie
Piper Laurie was an acclaimed American actress known for her intense performances in films like "Carrie" and "The Hustler" and the TV series "Twin Peaks."
-
E.
Shirley Heath
Shirley Heath is a large open heathland and recreational green space located in the Shirley area of the West Midlands, England.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563809748190a54156b946d3f061 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009183a94081909c5892b1ccbc1d7a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 4:51 a.m.