Triple

T4052289
Position Surface form Disambiguated ID Type / Status
Subject Alliance of Motion Picture and Television Producers E84611 entity
Predicate shortName P43 FINISHED
Object AMPTP
AMPTP is the trade association that represents major film and television studios and streamers in labor negotiations with entertainment industry unions and guilds.
 E409760 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: AMPTP | Statement: [Alliance of Motion Picture and Television Producers, shortName, AMPTP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AMPTP
Context triple: [Alliance of Motion Picture and Television Producers, shortName, AMPTP]
  • A. AMT
    AMT is the standard time zone used in Armenia, corresponding to UTC+4 hours.
  • B. ABT
    ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
  • C. ABT
    ABT is a leading American classical ballet company renowned for its extensive repertoire and international tours.
  • D. AMF
    AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
  • E. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • 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: AMPTP
Triple: [Alliance of Motion Picture and Television Producers, shortName, AMPTP]
Generated description
AMPTP is the trade association that represents major film and television studios and streamers in labor negotiations with entertainment industry unions and guilds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AMPTP
Target entity description: AMPTP is the trade association that represents major film and television studios and streamers in labor negotiations with entertainment industry unions and guilds.
  • A. AMT
    AMT is the standard time zone used in Armenia, corresponding to UTC+4 hours.
  • B. ABT
    ABT is the stock ticker symbol for Abbott Laboratories, a global healthcare company specializing in medical devices, diagnostics, nutrition products, and branded generic pharmaceuticals.
  • C. ABT
    ABT is a leading American classical ballet company renowned for its extensive repertoire and international tours.
  • D. AMF
    AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
  • E. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb869c34819097ec3bebe402d37b completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55659256081909154569cedd1694a completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b5572b27c48190989311cef00b5f44 completed March 14, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_69b55b333ffc8190a5df8b8d7bffa77f completed March 14, 2026, 12:57 p.m.
Created at: March 9, 2026, 3:37 p.m.