Triple

T20467090
Position Surface form Disambiguated ID Type / Status
Subject Zack Ward E502079 entity
Predicate notableWork P4 FINISHED
Object Postal
Postal is a darkly comedic action film based on the controversial video game series, known for its outrageous satire and over-the-top violence.
 E1432720 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: Postal | Statement: [Zack Ward, notableWork, Postal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Postal
Context triple: [Zack Ward, notableWork, Postal]
  • A. Parcel Post
    Parcel Post is Australia Post’s standard domestic parcel delivery service for sending packages across the country.
  • B. Postal Group
    Postal Group is a specialized occupational cadre within Pakistan’s Central Superior Services responsible for managing and administering the country’s postal and related communication services.
  • C. Postau
    Postau is a small municipality in Lower Bavaria, Germany, situated in the rural district of Landshut.
  • D. Posta
    Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
  • E. Parcel
    Parcel is a zero-configuration web application bundler known for its fast performance, automatic code splitting, and built-in support for modern JavaScript tooling.
  • 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: Postal
Triple: [Zack Ward, notableWork, Postal]
Generated description
Postal is a darkly comedic action film based on the controversial video game series, known for its outrageous satire and over-the-top violence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Postal
Target entity description: Postal is a darkly comedic action film based on the controversial video game series, known for its outrageous satire and over-the-top violence.
  • A. Parcel Post
    Parcel Post is Australia Post’s standard domestic parcel delivery service for sending packages across the country.
  • B. Postal Group
    Postal Group is a specialized occupational cadre within Pakistan’s Central Superior Services responsible for managing and administering the country’s postal and related communication services.
  • C. Postau
    Postau is a small municipality in Lower Bavaria, Germany, situated in the rural district of Landshut.
  • D. Posta
    Posta is a popular Turkish daily newspaper known for its mass-market appeal and wide circulation.
  • E. Parcel
    Parcel is a zero-configuration web application bundler known for its fast performance, automatic code splitting, and built-in support for modern JavaScript tooling.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995d9d1c81909ee223a35a0850ba completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b1a82a88190a5f531c43cdd15cb completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c9b40788190b76ef5c582996d34 completed May 16, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_6a088d186a38819085c8809560e94745 completed May 16, 2026, 3:28 p.m.
Created at: April 16, 2026, 11:33 a.m.