Triple
T3495343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circuit des Yeux |
E73836
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Haley Fohr |
E366436
|
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: Haley Fohr | Statement: [Circuit des Yeux, alsoKnownAs, Haley Fohr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haley Fohr Context triple: [Circuit des Yeux, alsoKnownAs, Haley Fohr]
-
A.
Haley Fohr
chosen
Haley Fohr is an American experimental musician and composer known for her project Circuit des Yeux, marked by her powerful contralto voice and avant-garde, genre-blurring sound.
-
B.
Hadley Beeman
Hadley Beeman is a web standards and technology governance expert known for her leadership within the World Wide Web Consortium (W3C) and related digital policy initiatives.
-
C.
Cydney Daly
Cydney Daly is known as the daughter of Hall of Fame NBA coach Chuck Daly.
-
D.
Holly Bankemper
Holly Bankemper is an American attorney best known as the wife of former NFL wide receiver and sportscaster Cris Collinsworth.
-
E.
Hayley McFarland
Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb7d6ab881909bf4c895646af259 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:18 p.m.