Triple

T6911286
Position Surface form Disambiguated ID Type / Status
Subject Abby Pearce Truman Chapman E159936 entity
Predicate hasMiddleName P143 FINISHED
Object Truman E127005 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: Truman | Statement: [Abby Pearce Truman Chapman, hasMiddleName, Truman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Truman
Context triple: [Abby Pearce Truman Chapman, hasMiddleName, Truman]
  • A. Truman chosen
    Truman is the given name of Truman Capote, the influential American author known for works like "In Cold Blood" and "Breakfast at Tiffany's."
  • B. Will Truman
    Will Truman is a witty, neurotic gay lawyer and one of the central protagonists of the sitcom "Will & Grace," known for his close friendship with Grace Adler.
  • C. President Harry S. Truman
    President Harry S. Truman was the 33rd president of the United States, known for making the decision to use atomic bombs in World War II, implementing the Marshall Plan, and shaping early Cold War policy.
  • D. Eisenhower
    Eisenhower is a prominent American surname most famously associated with Dwight D. Eisenhower, the 34th president of the United States, and his family.
  • E. Roosevelt
    Roosevelt is a major Chicago 'L' rapid transit station that serves as a key transfer point near the city's Museum Campus and South Loop.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9c135b48190b332aedf1d52bdb7 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75127b71c8190ac958a178795dcf7 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:25 p.m.