Triple

T25211693
Position Surface form Disambiguated ID Type / Status
Subject Negro Ensemble Company E631703 entity
Predicate notableWork P4 FINISHED
Object Zooman and the Sign
"Zooman and the Sign" is a 1980 play by Charles Fuller that examines urban violence, community responsibility, and the code of silence in an African American neighborhood after the murder of a young girl.
 E1667632 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: Zooman and the Sign | Statement: [Negro Ensemble Company, notableWork, Zooman and the Sign]
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: Zooman and the Sign
Triple: [Negro Ensemble Company, notableWork, Zooman and the Sign]
Generated description
"Zooman and the Sign" is a 1980 play by Charles Fuller that examines urban violence, community responsibility, and the code of silence in an African American neighborhood after the murder of a young girl.

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_69e75a8d1aa48190a4320acd3654762c completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47b8918fc819080825ed92fb3a1a7 completed May 1, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d34bcf0819083ebd5a10110886d completed May 22, 2026, 1:42 p.m.
NEDg Description generation batch_6a105e32237c8190ba397b04b9692e7b completed May 22, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a105ef626c08190933088d575b2e923 completed May 22, 2026, 1:49 p.m.
Created at: April 21, 2026, 12:58 p.m.