Triple
T7621238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Cloyce |
E172496
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cloyce |
E172496
|
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: Cloyce | Statement: [Sarah Cloyce, familyName, Cloyce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloyce Context triple: [Sarah Cloyce, familyName, Cloyce]
-
A.
Cloyce
chosen
Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
-
B.
Claytone
Claytone is a less common variant spelling of the given name Clayton, typically used as a masculine first name.
-
C.
Cliftonn
Cliftonn is a variant spelling of the given name and surname Clifton, which is of English origin.
-
D.
Pleakley
Pleakley is a one-eyed, nervous but well-meaning alien from the Lilo & Stitch franchise who serves as an Earth expert and comic sidekick to Jumba.
-
E.
McClymonds
McClymonds is a public high school in West Oakland, California, known for its strong athletic tradition and deep roots in the local community.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa62870c8190b17f44eb7a3ff2ad |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868789618819094010e60ef73fdfd |
completed | March 28, 2026, 11:47 p.m. |
Created at: March 27, 2026, 3:56 p.m.