Triple

T23389054
Position Surface form Disambiguated ID Type / Status
Subject Cecil B. Demented E593961 entity
Predicate mainCharacter P1183 FINISHED
Object Honey Whitlock
Honey Whitlock is a fictional, self-absorbed Hollywood movie star who becomes the kidnapped muse of a renegade underground filmmaker in John Waters’ dark comedy "Cecil B. Demented."
E1594868 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: Honey Whitlock | Statement: [Cecil B. Demented, mainCharacter, Honey Whitlock]
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: Honey Whitlock
Triple: [Cecil B. Demented, mainCharacter, Honey Whitlock]
Generated description
Honey Whitlock is a fictional, self-absorbed Hollywood movie star who becomes the kidnapped muse of a renegade underground filmmaker in John Waters’ dark comedy "Cecil B. Demented."

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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49a7c14819082aab826715976c5 completed April 29, 2026, 6:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f4543c3bc819088d200fd3db69512 completed May 21, 2026, 5:47 p.m.
NEDg Description generation batch_6a0f47d607188190974666bddb39c7cf completed May 21, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0f484988d081909280fe863dc80e30 completed May 21, 2026, 6 p.m.
Created at: April 17, 2026, 5:35 p.m.