Triple
T21708582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Sara |
E535836
|
entity |
| Predicate | parentInLaw |
P51928
|
FINISHED |
| Object | Diane Cilento |
—
|
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: Diane Cilento | Statement: [Mia Sara, parentInLaw, Diane Cilento]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Cilento Context triple: [Mia Sara, parentInLaw, Diane Cilento]
-
A.
Diane Cilento
chosen
Diane Cilento was an Australian actress known for her work in British and international cinema and theatre, and for her Academy Award–nominated role in the film "Tom Jones" (1963).
-
B.
Patricia Dainton
Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
-
C.
Dianne Pilkington
Dianne Pilkington is a British stage actress and singer best known for her work in West End musical theatre, including roles in productions such as Wicked and Mamma Mia!.
-
D.
Diane Haughton
Diane Haughton is best known as the mother of the late R&B singer and actress Aaliyah.
-
E.
Diane Johnston
Diane Johnston is the mother of American record producer and songwriter Bob Johnston.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb5314a288190b4b8347cca15aaa8 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.