Triple
T17790304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claire Cleary |
E444140
|
entity |
| Predicate | sister |
P14414
|
FINISHED |
| Object | Gloria Cleary |
—
|
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: Gloria Cleary | Statement: [Claire Cleary, sister, Gloria Cleary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Cleary Context triple: [Claire Cleary, sister, Gloria Cleary]
-
A.
Gloria Cleary
chosen
Gloria Cleary is a quirky, emotionally intense love interest portrayed by Isla Fisher in the comedy film "Wedding Crashers."
-
B.
Eileen Connolly
Eileen Connolly is a prominent author and teacher in the field of tarot and esoteric studies, known for her influential books on divination and metaphysics.
-
C.
Kathleen Cleary
Kathleen Cleary is the wife of Secretary William Cleary, a character in the film "Wedding Crashers."
-
D.
Maureen Brady
Maureen Brady is one of the sisters of former NFL quarterback Tom Brady and a member of the Brady family known for its strong athletic background.
-
E.
Maureen Murphy
Maureen Murphy is a precocious and imaginative young girl who is one of the central members of the dysfunctional Murphy family in the animated comedy series "F Is for Family."
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879688908190a5428b1fa7525f62 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:13 a.m.