Triple
T3983849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cailee Spaeny |
E86822
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cailee |
E95904
|
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: Cailee | Statement: [Cailee Spaeny, givenName, Cailee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cailee Context triple: [Cailee Spaeny, givenName, Cailee]
-
A.
Cailee
chosen
Cailee is a feminine given name most notably borne by American actress Cailee Spaeny.
-
B.
Kaley
Kaley is the given name of American actress Kaley Cuoco, best known for her role as Penny on the sitcom "The Big Bang Theory."
-
C.
Kailen Sheridan
Kailen Sheridan is a Canadian professional soccer goalkeeper known for her standout performances in the National Women's Soccer League and with the Canada women's national team.
-
D.
Kira Kelly
Kira Kelly is an American cinematographer known for her acclaimed work on socially conscious documentaries and television, including Ava DuVernay’s film "13th."
-
E.
Hailey
Hailey is a parish in Hertfordshire, England, associated with the town of Haileybury.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9de58d48190969f354a1bf0df94 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540284d548190821d37b68974a2d2 |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:33 p.m.