Triple
T10244366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chlöe Bailey |
E240174
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chlöe Bailey |
E240174
|
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: Chlöe Bailey | Statement: [Chlöe Bailey, name, Chlöe Bailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chlöe Bailey Context triple: [Chlöe Bailey, name, Chlöe Bailey]
-
A.
Chlöe Bailey
chosen
Chlöe Bailey is an American singer, songwriter, producer, and actress best known as one half of the R&B duo Chloe x Halle and for her solo music career.
-
B.
Makayla Epps
Makayla Epps is an American basketball player best known for her standout collegiate career as a guard for the University of Kentucky women's basketball team.
-
C.
Chloe Lattanzi
Chloe Lattanzi is an American-Australian singer and actress best known as the daughter of entertainer Olivia Newton-John and for her work in music and reality television.
-
D.
Sloane Klevin
Sloane Klevin is a film editor known for her work on feature films such as "Tarzan and the Lost City."
-
E.
Chloe Simon
Chloe Simon is a central human protagonist in the live-action Disney film "102 Dalmatians," known for her role in protecting the dalmatian puppies from Cruella de Vil's schemes.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22a76188190a73df23bfb08eb3d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7936ce4819087f07df2c7a76282 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:26 a.m.