Triple

T8367429
Position Surface form Disambiguated ID Type / Status
Subject Dan Romer E197167 entity
Predicate notableWork P4 FINISHED
Object Wendy
Wendy is an animated fantasy film scored by composer Dan Romer.
 E728173 NE FINISHED

How this triple was built (4 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: Wendy | Statement: [Dan Romer, notableWork, Wendy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wendy
Context triple: [Dan Romer, notableWork, Wendy]
  • A. Wendy
    Wendy is a musician best known as the guitarist for Prince’s band The Revolution and as half of the duo Wendy & Lisa.
  • B. Wendy
    Wendy is a feminine given name of English origin, popularized by J.M. Barrie’s character Wendy Darling in "Peter Pan."
  • C. Wendy
    Wendy is a character portrayed by actress and model Jamie King, known from her work in film and television.
  • D. Wendy & Lisa
    Wendy & Lisa is an American musical duo best known for their work with Prince and The Revolution and their subsequent career composing and performing their own eclectic pop, rock, and soundtrack music.
  • E. Betty
    "Betty" is a renowned photorealistic painting by German artist Gerhard Richter, depicting his daughter turning away from the viewer and exemplifying his exploration of perception and representation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wendy
Triple: [Dan Romer, notableWork, Wendy]
Generated description
Wendy is an animated fantasy film scored by composer Dan Romer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wendy
Target entity description: Wendy is an animated fantasy film scored by composer Dan Romer.
  • A. Wendy
    Wendy is a character portrayed by actress and model Jamie King, known from her work in film and television.
  • B. Wendy
    Wendy is a musician best known as the guitarist for Prince’s band The Revolution and as half of the duo Wendy & Lisa.
  • C. Wendy
    Wendy is a feminine given name of English origin, popularized by J.M. Barrie’s character Wendy Darling in "Peter Pan."
  • D. Wendy & Lisa
    Wendy & Lisa is an American musical duo best known for their work with Prince and The Revolution and their subsequent career composing and performing their own eclectic pop, rock, and soundtrack music.
  • E. Betty
    Betty is the young, resourceful heroine of the children's story "Betty's Bright Idea," known for her cleverness and problem-solving nature.
  • F. None of above. chosen

Provenance (5 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808e56fc81908b5d37482f29452d completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc78c0c208190ba590c74512a4043 completed April 2, 2026, 1:34 a.m.
NEDg Description generation batch_69cdcc88456c8190ba8613b4cbf40fbb completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd75714881908f0b069a94ee334f completed April 2, 2026, 1:59 a.m.
Created at: March 30, 2026, 6 p.m.