Triple

T28134800
Position Surface form Disambiguated ID Type / Status
Subject James Heller E714170 entity
Predicate familyMember P566 FINISHED
Object Richard Heller
Richard Heller is a fictional character from the television series "24," known as the son of U.S. Secretary of Defense James Heller and for his involvement in several of the show's political and personal storylines.
E1807478 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: Richard Heller | Statement: [James Heller, familyMember, Richard Heller]
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: Richard Heller
Triple: [James Heller, familyMember, Richard Heller]
Generated description
Richard Heller is a fictional character from the television series "24," known as the son of U.S. Secretary of Defense James Heller and for his involvement in several of the show's political and personal storylines.

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_69efd6af156c81908f50c2cd7db0e1ef completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6412d52188190b88347a75851b840 completed May 2, 2026, 6:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e69fc2cc8190be4260678a89a901 completed May 26, 2026, 6:29 p.m.
NEDg Description generation batch_6a15ea8fe4b48190ad1d30fa033a8796 completed May 26, 2026, 6:46 p.m.
NED2 Entity disambiguation (via description) batch_6a15eb177b88819099060898d1f89cae completed May 26, 2026, 6:48 p.m.
Created at: April 27, 2026, 9:49 p.m.