Triple

T10542869
Position Surface form Disambiguated ID Type / Status
Subject Shaffer Smith E248739 entity
Predicate notableWork P4 FINISHED
Object Mad E587299 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: Mad | Statement: [Shaffer Smith, notableWork, Mad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mad
Context triple: [Shaffer Smith, notableWork, Mad]
  • A. Mad chosen
    "Mad" is an R&B ballad by American singer Ne-Yo, known for its emotional lyrics about conflict and reconciliation in a relationship.
  • B. Deranged
    Deranged is a 1974 Canadian-American horror film loosely based on the crimes of Ed Gein, noted for its grim, realistic portrayal of a necrophilic killer.
  • C. Paranoimia
    Paranoimia is a 1986 electronic pop track by the avant-garde group Art of Noise, best known for its innovative production and collaboration with the computer-generated character Max Headroom.
  • D. Mal
    Mal is a common shortened form of the given name Malcolm.
  • E. Mot
    Mot is the Phoenician god of death and the underworld, associated with sterility, drought, and the cyclical struggle against life-giving deities.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5190f46d08190a92b1191881ffb92 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9342e6cf48190b0ca53ff2a4e0214 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.