Triple
T26651060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Damon as Benjamin Mee |
E669054
|
entity |
| Predicate | animalCareResponsibility |
P117008
|
FINISHED |
| Object | big cats |
—
|
LITERAL 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: big cats | Statement: [Matt Damon as Benjamin Mee, animalCareResponsibility, big cats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalCareResponsibility Context triple: [Matt Damon as Benjamin Mee, animalCareResponsibility, big cats]
-
A.
animalWelfarePractice
Indicates practices, actions, or policies that affect the well-being, treatment, and living conditions of animals.
-
B.
treatsHumanely
chosen
Indicates that one entity interacts with or cares for another in a way that respects their well-being, dignity, and humane treatment.
-
C.
animalWelfareActivist
Indicates that an entity actively advocates for the protection, rights, and well-being of animals.
-
D.
usesAnimalCarcass
Indicates that an entity makes use of an animal’s dead body or its remains for some purpose.
-
E.
usesLiveAnimals
Indicates that one entity employs or incorporates live animals in performing an action, service, process, or activity involving another entity.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:33 a.m.