Triple
T18822047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daisy Fay |
E460285
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Fay |
—
|
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: Fay | Statement: [Daisy Fay, hasFamilyName, Fay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fay Context triple: [Daisy Fay, hasFamilyName, Fay]
-
A.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
B.
Fay
Fay is an American television sitcom created by Susan Harris that aired briefly in the 1970s and centered on the life of a recently divorced woman starting over.
-
C.
Fay
Fay is a common informal nickname for the city of Fayetteville, Arkansas.
-
D.
Fay
chosen
Fay is a surname of English and Irish origin borne by various notable individuals, including members of the Fay family such as Harriet Melusina Fay.
-
E.
Faye
Faye is Mare Sheehan’s therapist in the television series "Mare of Easttown," providing professional counseling and emotional support to the troubled detective.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6ba90988190a93e1c2fa23b3d1d |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.