Triple
T6763239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fay Bainter |
E154647
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fay |
E30967
|
NE FINISHED |
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: [Fay Bainter, givenName, Fay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fay Context triple: [Fay Bainter, givenName, Fay]
-
A.
Fay
chosen
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
B.
Felicia
Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
-
C.
Fynn
Fynn is an alternative spelling of the given name Finn, used as a modern variant in various European languages.
-
D.
Freda
Freda is a feminine given name, often used in English-speaking countries and derived from names like Winifred or Frederica.
-
E.
Fiona
Fiona is a central character in the Shrek film series, an ogre princess known for her bravery, independence, and unconventional fairy-tale romance with Shrek.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2160a2c8190837c608a3509c62c |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712b6ec408190bd9131f289b02ba7 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:12 p.m.