Triple

T30194343
Position Surface form Disambiguated ID Type / Status
Subject Pet Sematary (1989 film) E767580 entity
Predicate featuresCharacter P626 FINISHED
Object Church the cat
Church the cat is the reanimated family pet whose eerie transformation embodies the central horror of the 1989 film adaptation of Stephen King’s "Pet Sematary."
E1903866 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: Church the cat | Statement: [Pet Sematary (1989 film), featuresCharacter, Church the cat]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Church the cat
Triple: [Pet Sematary (1989 film), featuresCharacter, Church the cat]
Generated description
Church the cat is the reanimated family pet whose eerie transformation embodies the central horror of the 1989 film adaptation of Stephen King’s "Pet Sematary."

Provenance (5 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_69f2247db1108190835c0727c97637c3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67f86218c8190918d9a725306fb43 completed May 2, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27589a3e5c8190b7f147d244054ea6 completed June 9, 2026, 12:04 a.m.
NEDg Description generation batch_6a275a7e7e78819088b7aef8057de369 completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275b647ee08190a1590afaccf078b8 completed June 9, 2026, 12:16 a.m.
Created at: April 29, 2026, 7:29 p.m.