Triple

T1520510
Position Surface form Disambiguated ID Type / Status
Subject SPE E32215 entity
Predicate author P4 FINISHED
Object Morris Halle E32214 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: Morris Halle | Statement: [SPE, author, Morris Halle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morris Halle
Context triple: [SPE, author, Morris Halle]
  • A. Morris Halle chosen
    Morris Halle was a pioneering Latvian-American linguist and phonologist, best known for his foundational work in generative phonology and his long collaboration with Noam Chomsky at MIT.
  • B. Tan Hall
    Tan Hall is a major academic and research building associated with the College of Chemistry at the University of California, Berkeley.
  • C. Silverman Hall
    Silverman Hall is a prominent academic and administrative building that serves as a central facility of the University of Pennsylvania Law School.
  • D. Lee Berk
    Lee Berk was an American educator and administrator who significantly shaped contemporary music education as a leader of the institution that became Berklee College of Music.
  • E. Longy Zwillman
    Longy Zwillman was a prominent early-20th-century American mobster and bootlegger often dubbed the "Al Capone of New Jersey" for his influential role in organized crime.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907f071848190a5fb8fa1b97ef4de completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad308f99d8819095c2ed404d4170b3 completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.