Triple

T23443539
Position Surface form Disambiguated ID Type / Status
Subject Big City Greens E565469 entity
Predicate hasMainCharacter P1183 FINISHED
Object Tilly Green
Tilly Green is a quirky, imaginative, and offbeat young girl who serves as one of the central protagonists in the animated series "Big City Greens."
E1587343 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: Tilly Green | Statement: [Big City Greens, hasMainCharacter, Tilly Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tilly Green
Context triple: [Big City Greens, hasMainCharacter, Tilly Green]
  • A. Tilly Mitchell
    Tilly Mitchell is a real-life prison employee whose involvement in the 2015 Clinton Correctional Facility escape was dramatized as a central figure in the TV miniseries "Escape at Dannemora."
  • B. Tilly
    Tilly is the commonly used name for Johann Tserclaes, Count of Tilly, a prominent general of the Catholic League during the early stages of the Thirty Years' War.
  • C. Tilly
    Tilly is one of the short stories included in James Joyce’s collection *Pomes Penyeach*.
  • D. Tilly
    Tilly is a feminine given name, often used as a diminutive form of names like Ottilie or Matilda.
  • E. Lila Green
    Lila Green is the central female protagonist of William Inge’s play "A Loss of Roses," whose emotional struggles and relationships drive the drama’s exploration of loss and longing.
  • 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: Tilly Green
Triple: [Big City Greens, hasMainCharacter, Tilly Green]
Generated description
Tilly Green is a quirky, imaginative, and offbeat young girl who serves as one of the central protagonists in the animated series "Big City Greens."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tilly Green
Target entity description: Tilly Green is a quirky, imaginative, and offbeat young girl who serves as one of the central protagonists in the animated series "Big City Greens."
  • A. Tilly Mitchell
    Tilly Mitchell is a real-life prison employee whose involvement in the 2015 Clinton Correctional Facility escape was dramatized as a central figure in the TV miniseries "Escape at Dannemora."
  • B. Tilly
    Tilly is a feminine given name, often used as a diminutive form of names like Ottilie or Matilda.
  • C. Tilly
    Tilly is the commonly used name for Johann Tserclaes, Count of Tilly, a prominent general of the Catholic League during the early stages of the Thirty Years' War.
  • D. Tilly
    Tilly is one of the short stories included in James Joyce’s collection *Pomes Penyeach*.
  • E. Lila Green
    Lila Green is the central female protagonist of William Inge’s play "A Loss of Roses," whose emotional struggles and relationships drive the drama’s exploration of loss and longing.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64717d08190a2c25e7bbfc17a2f completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67b7c6b08190a739ee30e51c9f46 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7217edc881909f582f0c726d7e61 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c770386a8819098358513016ae5ab completed May 19, 2026, 2:43 p.m.
Created at: April 17, 2026, 5:51 p.m.