Triple

T3056294
Position Surface form Disambiguated ID Type / Status
Subject Hocus Pocus E60487 entity
Predicate character P662 FINISHED
Object Sarah Sanderson E323390 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: Sarah Sanderson | Statement: [Hocus Pocus, character, Sarah Sanderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Sanderson
Context triple: [Hocus Pocus, character, Sarah Sanderson]
  • A. Sarah Sanderson chosen
    Sarah Sanderson is a flirtatious and ditzy witch from the Sanderson sisters trio in the fantasy-comedy film "Hocus Pocus."
  • B. Baelen
    Baelen is a small municipality in the province of Liège in eastern Belgium, near the German border.
  • C. Alys
    Alys is a feminine given name, often used as a variant of Alice in English-speaking contexts.
  • D. Princess Rhaenys Targaryen
    Princess Rhaenys Targaryen is a seasoned dragonrider and politically astute Targaryen royal, known as "The Queen Who Never Was" in the world of George R. R. Martin’s Westeros.
  • E. Perrin
    Perrin is a French surname borne by numerous notable figures in science, arts, and public life.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf7ebd48190ad5748a18fa9a56a completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8759f988190a69ca8a4682af5ba completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.