Triple
T12000963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kima Greggs |
E285658
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | Cheryl |
E329120
|
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: Cheryl | Statement: [Kima Greggs, partner, Cheryl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheryl Context triple: [Kima Greggs, partner, Cheryl]
-
A.
Cheryl
Cheryl is a feminine given name commonly used in English-speaking countries.
-
B.
Cheryl
chosen
Cheryl is a British singer and television personality best known for her successful solo career and high-profile role as a judge on the UK version of The X Factor.
-
C.
Chloe
Chloe is an American singer, songwriter, and actress best known as one half of the R&B duo Chloe x Halle.
-
D.
Chloe
Chloe is a 2009 psychological thriller film directed by Atom Egoyan, known for its themes of infidelity and obsession and starring Amanda Seyfried, Julianne Moore, and Liam Neeson.
-
E.
Chloe
Chloe is the pampered white Chihuahua who serves as the central protagonist in the family comedy film "Beverly Hills Chihuahua."
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c26d7881909b67a31d04882eb5 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4729eb4a081909d93b3fc74509d86 |
completed | May 1, 2026, 9:30 a.m. |
Created at: April 8, 2026, 9:46 p.m.