Triple

T7047134
Position Surface form Disambiguated ID Type / Status
Subject Lisa Lucas E163665 entity
Predicate employer P7 FINISHED
Object Schocken Books E196362 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: Schocken Books | Statement: [Lisa Lucas, employer, Schocken Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schocken Books
Context triple: [Lisa Lucas, employer, Schocken Books]
  • A. Schocken Books chosen
    Schocken Books is a distinguished publishing imprint known for its focus on Jewish literature, philosophy, and cultural works.
  • B. Grove Press
    Grove Press is an influential American publishing house known for championing avant-garde, politically radical, and previously censored literature.
  • C. Anchor Books
    Anchor Books is a paperback publishing imprint known for issuing classic and contemporary literary works, often in affordable and widely distributed editions.
  • D. Farrar, Straus and Giroux
    Farrar, Straus and Giroux is a prestigious American publishing house renowned for its literary fiction and nonfiction, including numerous award-winning and influential works.
  • E. Flatiron Books
    Flatiron Books is an American publishing imprint of Macmillan known for releasing high-profile nonfiction and literary fiction titles.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23a72f481909ce77ef73b06ea95 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887e6e50819088c23c9b45861a54 completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.