Triple

T799004
Position Surface form Disambiguated ID Type / Status
Subject Bill E17085 entity
Predicate hasVariant P455 FINISHED
Object Willy E17731 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: Willy | Statement: [Bill, hasVariant, Willy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willy
Context triple: [Bill, hasVariant, Willy]
  • A. Willy chosen
    Willy is a common diminutive form of the given name William, often used as an informal or affectionate nickname.
  • B. Willie
    Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
  • C. Melvin
    Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Harvey
    Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b4d9548190aad5fdf1211cf8cd completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b83f0fb4819097f29c9ab90cf1a8 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:38 p.m.