Triple
T25210019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Kruger as Sonya Cross |
E631657
|
entity |
| Predicate | partnerAffiliation |
P158421
|
FINISHED |
| Object | Chihuahua State Police |
—
|
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: Chihuahua State Police | Statement: [Diane Kruger as Sonya Cross, partnerAffiliation, Chihuahua State Police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerAffiliation Context triple: [Diane Kruger as Sonya Cross, partnerAffiliation, Chihuahua State Police]
-
A.
affiliateOfType
Indicates that an affiliate entity belongs to, or is categorized under, a specific type or classification.
-
B.
ownerAffiliation
Indicates that an entity’s owner is formally associated with, belongs to, or is aligned with another entity or organization.
-
C.
holderAffiliation
Indicates that a holder (such as a person or organization) is affiliated with, or belongs to, a particular group, institution, or entity.
-
D.
partnerAgency
Indicates a formal collaborative relationship in which one agency acts as a partner to another agency.
-
E.
partnerInOrganizationWith
Indicates that two entities are associated as partners within the same organization or organizational context.
- F. None of above. chosen
Provenance (4 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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47b8854348190be2a641802837234 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 12:58 p.m.