Triple
T6995560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiersey Clemons |
E162203
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kiersey |
E162203
|
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: Kiersey | Statement: [Kiersey Clemons, givenName, Kiersey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiersey Context triple: [Kiersey Clemons, givenName, Kiersey]
-
A.
Kiersey Clemons
chosen
Kiersey Clemons is an American actress and singer known for her roles in films like "Dope" and "Hearts Beat Loud" and in television series such as "Transparent" and "Swarm."
-
B.
Kelsey
Kelsey is a given name most famously associated with American actor and comedian Kelsey Grammer.
-
C.
Kelli
Kelli is a feminine given name, typically considered a variant spelling of Kelly.
-
D.
Darcie
Darcie is a given name commonly used as a feminine first name in English-speaking countries.
-
E.
Kirsten
Kirsten is the first name of Kirsten Gillibrand, a prominent American politician and U.S. Senator from New York.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbec259c8190bb4cfbc1ff6fc786 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77551f85881909893d67176ee5556 |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:32 p.m.