Triple
T16064503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holga Kilgore |
E389697
|
entity |
| Predicate | loyalCompanionOf |
P22642
|
FINISHED |
| Object | the film’s protagonist group |
—
|
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: the film’s protagonist group | Statement: [Holga Kilgore, loyalCompanionOf, the film’s protagonist group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loyalCompanionOf Context triple: [Holga Kilgore, loyalCompanionOf, the film’s protagonist group]
-
A.
companionOf
chosen
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
-
B.
wasCompanionOf
Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of time.
-
C.
isBelovedOf
Indicates that one entity is deeply loved, cherished, or held in special affection by another entity.
-
D.
hasNumberOfCompanions
Indicates the quantity of companions or associates that an entity has.
-
E.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.