Triple

T1191761
Position Surface form Disambiguated ID Type / Status
Subject David Wayne E25376 entity
Predicate notableWork P4 FINISHED
Object M
"M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
 E136816 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: M | Statement: [David Wayne, notableWork, M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M
Context triple: [David Wayne, notableWork, M]
  • A. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • B. M
    M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • E. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • 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: M
Triple: [David Wayne, notableWork, M]
Generated description
"M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M
Target entity description: "M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
  • A. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • B. M
    M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • E. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd74e2c08190b4a48425f94addaa completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac764ea588819082f7d5d0e44e1211 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac76e1b430819092669c6e83d7a62c completed March 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac7768daa4819082a07fa755ce7364 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:45 p.m.