Triple

T16875794
Position Surface form Disambiguated ID Type / Status
Subject Les Biches E421294 entity
Predicate titleTranslation P38 FINISHED
Object Bad Girls
Bad Girls is the English release title of the 1968 French psychological drama film "Les Biches," directed by Claude Chabrol.
 E1237875 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: Bad Girls | Statement: [Les Biches, titleTranslation, Bad Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bad Girls
Context triple: [Les Biches, titleTranslation, Bad Girls]
  • A. Bad Girls
    "Bad Girls" is a 1979 disco hit album by Donna Summer, widely regarded as one of her signature works and a landmark of the disco era.
  • B. Bad Girls
    "Bad Girls" is a 2012 single by British-Sri Lankan artist M.I.A., known for its Middle Eastern–influenced production and a visually striking, stunt-filled music video that critiques gender norms and driving bans.
  • C. Bad Girls
    "Bad Girls" is a 1994 American Western film about four former prostitutes on the run, produced and co-written by Lynda Obst.
  • D. Bad Girl
    "Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
  • E. Bad Girl
    "Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
  • 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: Bad Girls
Triple: [Les Biches, titleTranslation, Bad Girls]
Generated description
Bad Girls is the English release title of the 1968 French psychological drama film "Les Biches," directed by Claude Chabrol.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bad Girls
Target entity description: Bad Girls is the English release title of the 1968 French psychological drama film "Les Biches," directed by Claude Chabrol.
  • A. Bad Girls
    "Bad Girls" is a 1979 disco hit album by Donna Summer, widely regarded as one of her signature works and a landmark of the disco era.
  • B. Bad Girls
    "Bad Girls" is a 1994 American Western film about four former prostitutes on the run, produced and co-written by Lynda Obst.
  • C. Bad Girls
    "Bad Girls" is a 2012 single by British-Sri Lankan artist M.I.A., known for its Middle Eastern–influenced production and a visually striking, stunt-filled music video that critiques gender norms and driving bans.
  • D. Bad Girl
    "Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
  • E. Bad Girl
    "Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b4abd08190841c5bb0b0eaa177 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c355f4108190a4209599bf5f50da completed May 10, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_6a00c413314881909e308588af09ce2a completed May 10, 2026, 5:44 p.m.
Created at: April 10, 2026, 5:29 a.m.