Triple

T12110494
Position Surface form Disambiguated ID Type / Status
Subject conservative coalition in Congress E288415 entity
Predicate opposed P437 FINISHED
Object Fair Deal E179 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: Fair Deal | Statement: [conservative coalition in Congress, opposed, Fair Deal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fair Deal
Context triple: [conservative coalition in Congress, opposed, Fair Deal]
  • A. Fair Deal chosen
    The Fair Deal was President Harry S. Truman’s ambitious post–World War II domestic reform program aimed at expanding social welfare, civil rights, and economic opportunity in the United States.
  • B. Real Deal
    "Real Deal" is a pop and R&B single by English singer-songwriter Jessie J, released in 2017.
  • C. Nice Agreement
    The Nice Agreement is an international treaty that establishes a standardized classification system of goods and services used for the registration of trademarks.
  • D. Fair & Balanced
    Fair & Balanced was the long-time marketing slogan used by Fox News Channel to promote its image as an impartial and objective news source.
  • E. Equity
    Equity is the common shorthand name for the Actors' Equity Association, the U.S. labor union representing professional stage actors and stage managers.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156709288190b4684cb19037dc38 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67b3f2c8190bcb2120781f91220 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:49 p.m.