Triple

T10975651
Position Surface form Disambiguated ID Type / Status
Subject Bryan Singer E259362 entity
Predicate familyName P18 FINISHED
Object Singer E83618 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: Singer | Statement: [Bryan Singer, familyName, Singer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Singer
Context triple: [Bryan Singer, familyName, Singer]
  • A. Singer chosen
    Singer is a common surname of Germanic origin borne by various notable individuals across literature, music, and other fields.
  • B. Singer 301
    The Singer 301 is a mid-20th-century, slant-needle, straight-stitch sewing machine prized for its durability, smooth performance, and status as a classic “Featherweight’s big sister” among vintage sewing enthusiasts.
  • C. Sing
    Sing is a 2016 animated musical comedy film featuring a group of anthropomorphic animals who enter a singing competition, produced by Illumination Entertainment.
  • D. Sing
    "Sing" is a gentle, melodic pop song popularized by the soft rock duo The Carpenters in the 1970s.
  • E. Singer 99
    Singer 99 is a compact, vintage domestic sewing machine model renowned for its durability and popularity in the early to mid-20th century.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f4e888819097433271a2f45ff3 completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7aeb66c8190b9d18642b2ad2ea0 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.