Triple

T6394659
Position Surface form Disambiguated ID Type / Status
Subject Rebirth E143911 entity
Predicate hasPart P35 FINISHED
Object Ground Zero E137583 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: Ground Zero | Statement: [Rebirth, hasPart, Ground Zero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ground Zero
Context triple: [Rebirth, hasPart, Ground Zero]
  • A. Ground Zero chosen
    Ground Zero is a survival horror video game level or scenario known for its intense atmosphere and challenging gameplay.
  • B. Falling Man
    Falling Man is a novel by Don DeLillo that explores the psychological and social aftermath of the September 11 attacks through the lives of survivors in New York City.
  • C. The Falling Man
    The Falling Man is a 2003 Esquire magazine article by Tom Junod that examines the story and cultural impact of a photograph capturing a man falling from the World Trade Center during the September 11 attacks.
  • D. No Tomorrow
    "No Tomorrow" is a pop-punk song by the American rock band Busted, released as a single from their third studio album "Night Driver."
  • E. No Tomorrow
    "No Tomorrow" is a song featured on the album B7 by American singer and actress Brandy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06881313481908e9082ffe57f29b6 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638935934819096a34da6f1b5110b completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:35 p.m.