Triple

T5235559
Position Surface form Disambiguated ID Type / Status
Subject Schlegel family E118211 entity
Predicate member P10 FINISHED
Object Tibby Schlegel E117465 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: Tibby Schlegel | Statement: [Schlegel family, member, Tibby Schlegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibby Schlegel
Context triple: [Schlegel family, member, Tibby Schlegel]
  • A. Tibby Schlegel chosen
    Tibby Schlegel is a fictional character from E. M. Forster's novel "Howards End," known as the younger, somewhat self-absorbed brother in the Schlegel family.
  • B. Clara Stahlbaum
    Clara Stahlbaum is the young heroine of "The Nutcracker" story, known for her magical Christmas Eve journey into a fantastical world of toy soldiers, mice, and the Sugar Plum Fairy.
  • C. Ottilie Einhorn
    Ottilie Einhorn is known as one of the children of American hedge fund manager and Greenlight Capital founder David Einhorn.
  • D. Gretchen Wieners
    Gretchen Wieners is a central member of the high school clique "The Plastics" in the teen comedy film Mean Girls, known for her insecurity, gossiping, and desperate desire to fit in.
  • E. Sarah Schechter
    Sarah Schechter is a prominent American television and film producer known for her extensive work on hit series and genre projects, including numerous Greg Berlanti–produced shows.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b064b6881909f5746f55aa422c6 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe6323708190bfc95f01c65dc234 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:49 p.m.