Triple

T10797222
Position Surface form Disambiguated ID Type / Status
Subject Sony Pictures Worldwide Acquisitions E254740 entity
Predicate alternativeName P39 FINISHED
Object SPWA
SPWA is the commonly used acronym for Sony Pictures Worldwide Acquisitions, a division of Sony Pictures that specializes in acquiring and producing films for global distribution.
E885627 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: SPWA | Statement: [Sony Pictures Worldwide Acquisitions, alternativeName, SPWA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPWA
Context triple: [Sony Pictures Worldwide Acquisitions, alternativeName, SPWA]
  • A. SWA
    SWA is the ICAO airline designator used to identify Southwest Airlines in aviation operations and air traffic control.
  • B. SWA
    SWA is the National Rail station code for Swansea railway station, a major rail hub in Swansea, Wales.
  • C. SWV
    SWV (Sisters With Voices) is an American R&B girl group best known for their 1990s hits like "Weak," "Right Here/Human Nature," and "I'm So Into You."
  • D. SWV
    SWV is the IATA airport code for Severo-Kurilsk Airport, which serves the town of Severo-Kurilsk in Russia’s Kuril Islands.
  • E. SWP
    SWP is the commonly used acronym for California’s State Water Project, a massive water storage and delivery system supplying water to millions of residents and vast agricultural areas.
  • 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: SPWA
Triple: [Sony Pictures Worldwide Acquisitions, alternativeName, SPWA]
Generated description
SPWA is the commonly used acronym for Sony Pictures Worldwide Acquisitions, a division of Sony Pictures that specializes in acquiring and producing films for global distribution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SPWA
Target entity description: SPWA is the commonly used acronym for Sony Pictures Worldwide Acquisitions, a division of Sony Pictures that specializes in acquiring and producing films for global distribution.
  • A. SWA
    SWA is the National Rail station code for Swansea railway station, a major rail hub in Swansea, Wales.
  • B. SWA
    SWA is the ICAO airline designator used to identify Southwest Airlines in aviation operations and air traffic control.
  • C. SWV
    SWV (Sisters With Voices) is an American R&B girl group best known for their 1990s hits like "Weak," "Right Here/Human Nature," and "I'm So Into You."
  • D. SWV
    SWV is the IATA airport code for Severo-Kurilsk Airport, which serves the town of Severo-Kurilsk in Russia’s Kuril Islands.
  • E. SWP
    SWP is the commonly used acronym for California’s State Water Project, a massive water storage and delivery system supplying water to millions of residents and vast agricultural areas.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73333dc4081909faa40c10bce2735 completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69de566352608190ab15e3a4b690c9a5 completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.