Triple

T33695358
Position Surface form Disambiguated ID Type / Status
Subject They’re Playing Our Song E863289 entity
Predicate originalLeadFemaleCharacter P173057 FINISHED
Object Molly Bell
Molly Bell is the original lead female character in the musical "They’re Playing Our Song," central to its romantic and comedic storyline.
 E2088795 NE FINISHED

How this triple was built (3 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: Molly Bell | Statement: [They’re Playing Our Song, originalLeadFemaleCharacter, Molly Bell]
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: Molly Bell
Triple: [They’re Playing Our Song, originalLeadFemaleCharacter, Molly Bell]
Generated description
Molly Bell is the original lead female character in the musical "They’re Playing Our Song," central to its romantic and comedic storyline.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originalLeadFemaleCharacter
Context triple: [They’re Playing Our Song, originalLeadFemaleCharacter, Molly Bell]
  • A. femaleLeadCharacterStatus
    Indicates the narrative or role status assigned to a female lead character within a story or production.
  • B. leadActress
    Indicates that the subject is the primary female performer in the specified film, show, or production.
  • C. leadActressCharacterName
    Indicates the name of the character portrayed by the lead actress in a given work.
  • D. relationshipTypeWithFemaleLead
    Indicates the type or nature of a relationship that an entity has with a female lead.
  • E. leadFemaleRoleType chosen
    Indicates that an entity holds or is associated with the primary female leading role type in a work or production.
  • F. None of above.

Provenance (6 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_69f3498723a08190ac034339cc78eade completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a0349d158b881908bfbdb501ea565ee completed May 12, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36e6048cbc8190998dba12a0f6019b completed June 20, 2026, 7:12 p.m.
NEDg Description generation batch_6a36e8413ddc8190b80406d6a133e849 completed June 20, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_6a36e8d2a5888190b17c1bcb890c90df completed June 20, 2026, 7:24 p.m.
PD Predicate disambiguation batch_6a034750e3d48190a88ee3604a36b46d completed May 12, 2026, 3:29 p.m.
Created at: May 1, 2026, 1:43 a.m.