Triple
T22640774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liza Snyder |
E558817
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Barbara Green |
—
|
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: Barbara Green | Statement: [Liza Snyder, mother, Barbara Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Green Context triple: [Liza Snyder, mother, Barbara Green]
-
A.
Barbara Green
chosen
Barbara Green is an individual associated with the Green family, known primarily as one of its members.
-
B.
Sandra Green
Sandra Green is a recurring character on the television series "Friends," known as Rachel Green’s somewhat overbearing and image-conscious mother.
-
C.
Sally Greenberg
Sally Greenberg is a consumer rights advocate and attorney who serves as a leading executive of the National Consumers League, focusing on protecting and promoting consumer interests.
-
D.
Gillian Greene
Gillian Greene is an American actress and filmmaker, known for her work in film and television and for being married to director Sam Raimi.
-
E.
Elaine Barrish
Elaine Barrish is a fictional former First Lady and Secretary of State who navigates political and family turmoil in the television miniseries "Political Animals."
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f170116fe881908178cffef26e3ae7 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:04 p.m.