Triple

T4884678
Position Surface form Disambiguated ID Type / Status
Subject Waterworld E109409 entity
Predicate distributor P1951 FINISHED
Object UIP
UIP (United International Pictures) is a major international film distribution company that has historically handled overseas releases for major Hollywood studios such as Paramount and Universal.
 E477650 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: UIP | Statement: [Waterworld, distributor, UIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UIP
Context triple: [Waterworld, distributor, UIP]
  • A. UIT
    UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
  • B. SUI
    SUI is the three-letter international code used to represent Switzerland in men's national ice hockey competitions.
  • C. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • D. UCEI
    UCEI is the acronym for the Union of Italian Jewish Communities, the central organization representing and coordinating Jewish communities throughout Italy.
  • E. IPU
    IPU is the commonly used abbreviation for the Inter-Parliamentary Union, a global organization that fosters cooperation and dialogue among national parliaments.
  • 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: UIP
Triple: [Waterworld, distributor, UIP]
Generated description
UIP (United International Pictures) is a major international film distribution company that has historically handled overseas releases for major Hollywood studios such as Paramount and Universal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UIP
Target entity description: UIP (United International Pictures) is a major international film distribution company that has historically handled overseas releases for major Hollywood studios such as Paramount and Universal.
  • A. UIT
    UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
  • B. SUI
    SUI is the three-letter international code used to represent Switzerland in men's national ice hockey competitions.
  • C. UPP
    UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
  • D. UCEI
    UCEI is the acronym for the Union of Italian Jewish Communities, the central organization representing and coordinating Jewish communities throughout Italy.
  • E. IPU
    IPU is the commonly used abbreviation for the Inter-Parliamentary Union, a global organization that fosters cooperation and dialogue among national parliaments.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6de3718881908521968fa6e6b444 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be680bf12c8190a5da2c7f0088cec2 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6c25d3448190b2589959a2f221c8 completed March 21, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_69be6cf6662c8190bc1b94766c5da1e9 completed March 21, 2026, 10:03 a.m.
Created at: March 20, 2026, 1:27 p.m.