Triple
T31839430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cissie Colpitts |
E812761
|
entity |
| Predicate | countryOfWorkAppearance |
P131264
|
FINISHED |
| Object | United Kingdom |
—
|
NE NERFINISHED |
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: United Kingdom | Statement: [Cissie Colpitts, countryOfWorkAppearance, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfWorkAppearance Context triple: [Cissie Colpitts, countryOfWorkAppearance, United Kingdom]
-
A.
developerOfWorkAppearingIn
Indicates that one entity is the creator or developer of a work in which another entity appears or is featured.
-
B.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
-
C.
appearsInWorkCountryOfOrigin
Indicates that an entity appears in a work whose country of origin is the specified country.
-
D.
networkOfAppearance
Indicates a relationship where entities are connected through shared or co-occurring appearances within the same context, medium, or setting.
-
E.
worksInCountry
chosen
Indicates that an entity performs its work or professional activities within the specified country.
- F. None of above.
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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a000a1d8fa88190a1d82ac746565c48 |
completed | May 10, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_6a0008b26eb88190ae03b2309a614774 |
completed | May 10, 2026, 4:25 a.m. |
Created at: April 30, 2026, 11:49 p.m.