Triple

T3646427
Position Surface form Disambiguated ID Type / Status
Subject Mao II E77312 entity
Predicate author P4 FINISHED
Object Don DeLillo E11803 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: Don DeLillo | Statement: [Mao II, author, Don DeLillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don DeLillo
Context triple: [Mao II, author, Don DeLillo]
  • A. Don DeLillo chosen
    Don DeLillo is a critically acclaimed American novelist known for his postmodern works that explore themes of consumerism, technology, and the anxieties of contemporary life, including novels such as "White Noise" and "Underworld."
  • B. Thomas Pynchon
    Thomas Pynchon is a reclusive American novelist known for his dense, complex, and postmodern works such as "Gravity’s Rainbow" and "The Crying of Lot 49."
  • C. E. L. Doctorow
    E. L. Doctorow was an acclaimed American novelist known for his innovative works of historical fiction, including "Ragtime" and "Billy Bathgate."
  • D. William Gaddis
    William Gaddis was an American postmodern novelist known for his dense, allusive, and formally experimental works such as "The Recognitions" and "JR."
  • E. Jonathan Lethem
    Jonathan Lethem is an American novelist known for blending literary fiction with genre elements such as science fiction, detective stories, and pop culture, in works like "Motherless Brooklyn" and "The Fortress of Solitude."
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3895198819090a17a8894e91d00 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c6559c88190a0ae63d0f05d5d75 completed March 14, 2026, 8:29 a.m.
Created at: March 8, 2026, 3:24 p.m.