Triple
T21502404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Behrendt |
E530508
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Liz Tuccillo |
—
|
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: Liz Tuccillo | Statement: [Greg Behrendt, coAuthorWith, Liz Tuccillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liz Tuccillo Context triple: [Greg Behrendt, coAuthorWith, Liz Tuccillo]
-
A.
Liz Tuccillo
chosen
Liz Tuccillo is an American writer, producer, and director best known for co-authoring the dating advice book "He's Just Not That Into You" and for her work on the television series "Sex and the City."
-
B.
Lisa Vultaggio
Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
-
C.
Tina Apicella
Tina Apicella is an actress best known for her role in the Italian film "Bellissima."
-
D.
Laura Terruso
Laura Terruso is an American filmmaker and screenwriter known for her work on character-driven comedies and collaborations with director Michael Showalter.
-
E.
Angela D'Amico
Angela D'Amico is known primarily as the wife of American actor and comedian Frank D'Amico.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5d209881908754eb07a47e478a |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.