Triple

T3589366
Position Surface form Disambiguated ID Type / Status
Subject William Good E75988 entity
Predicate familyName P18 FINISHED
Object Good E75987 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: Good | Statement: [William Good, familyName, Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good
Context triple: [William Good, familyName, Good]
  • A. Good chosen
    Good is a surname of English origin borne by various individuals, including historical figures such as Sarah Good of Salem witch trials notoriety.
  • B. Gutes
    The Gutes were the North Germanic inhabitants of the Baltic island of Gotland, known for their distinct Gutnish language and extensive Viking Age trade networks.
  • C. Good American
    Good American is a fashion brand co-founded by Khloé Kardashian, best known for its inclusive, body-positive denim and apparel lines.
  • D. Good News
    "Good News" is a 1947 MGM musical film starring Peter Lawford and June Allyson, set on a college campus and known for its lively song-and-dance numbers and lighthearted romantic comedy.
  • E. Good Enough
    "Good Enough" is a song by American R&B singer Bobby Brown, known for its smooth new jack swing style and emotive vocals.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc13c9514819096adf60b15016b8b completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4d974f081909c98ddaf55aab8cc completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:22 p.m.