Triple

T3551112
Position Surface form Disambiguated ID Type / Status
Subject Gary Sinise E75112 entity
Predicate notableWork P4 FINISHED
Object Truman E47 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: [Gary Sinise, notableWork, Truman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Truman
Context triple: [Gary Sinise, notableWork, Truman]
  • A. Truman
    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. President Harry S. Truman chosen
    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.
  • C. Eisenhower
    Eisenhower is a prominent American surname most famously associated with Dwight D. Eisenhower, the 34th president of the United States, and his family.
  • D. Roosevelt
    Roosevelt is a prominent American surname most famously associated with political figures such as Presidents Theodore and Franklin D. Roosevelt and First Lady Eleanor Roosevelt.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd52f44819088e07139fe987e2a completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432fdda488190a31f74e80685c121 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:20 p.m.