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.