Triple

T7976247
Position Surface form Disambiguated ID Type / Status
Subject Daniel Hernandez E185452 entity
Predicate notableWork P4 FINISHED
Object Gummo E125938 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: Gummo | Statement: [Daniel Hernandez, notableWork, Gummo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gummo
Context triple: [Daniel Hernandez, notableWork, Gummo]
  • A. Gummo chosen
    Gummo is a breakout 2017 single by American rapper Tekashi 6ix9ine known for its aggressive style and viral success.
  • B. Irma Vep
    Irma Vep is a French-American television miniseries that blends meta-cinema, crime, and dark comedy as it follows an actress remaking a classic silent-era vampire serial.
  • C. Angry Candy
    Angry Candy is a collection of dark, emotionally intense short stories by Harlan Ellison that often explore themes of death, grief, and human vulnerability.
  • D. The Ghoul Man
    The Ghoul Man is a reanimated corpse character from the cult 1959 science fiction horror film "Plan 9 from Outer Space."
  • E. Ummagumma
    Ummagumma is a 1969 double album by Pink Floyd that combines live recordings with experimental solo studio pieces from each band member.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf56f688190902b95afe42635ec completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0c39e248190a146c1f2fd815f26 completed March 31, 2026, 2:57 p.m.
Created at: March 30, 2026, 5:14 p.m.