Triple

T12565098
Position Surface form Disambiguated ID Type / Status
Subject The Goddess E295450 entity
Predicate distributor P1951 FINISHED
Object V-L-S-E
V-L-S-E was an early 20th-century American film distribution company that handled releases for several major silent-era studios.
 E989547 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: V-L-S-E | Statement: [The Goddess, distributor, V-L-S-E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: V-L-S-E
Context triple: [The Goddess, distributor, V-L-S-E]
  • A. VSELJ
    VSELJ is a student-edited law journal at the University of Virginia School of Law focusing on legal issues in sports and entertainment.
  • B. VSL
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • C. VLKSM
    VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
  • D. VLY
    VLY is the IATA airport code for Royal Air Force Valley, a military airbase on the island of Anglesey in Wales.
  • E. VZL
    VZL is the station code for Vijzelgracht metro station on Amsterdam’s North–South metro line.
  • 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: V-L-S-E
Triple: [The Goddess, distributor, V-L-S-E]
Generated description
V-L-S-E was an early 20th-century American film distribution company that handled releases for several major silent-era studios.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: V-L-S-E
Target entity description: V-L-S-E was an early 20th-century American film distribution company that handled releases for several major silent-era studios.
  • A. VSELJ
    VSELJ is a student-edited law journal at the University of Virginia School of Law focusing on legal issues in sports and entertainment.
  • B. VSL
    VSL is the station code for Venezia Santa Lucia, the main railway terminal serving the historic center of Venice, Italy.
  • C. VLKSM
    VLKSM was the Russian abbreviation for the All-Union Leninist Young Communist League, the Soviet Union’s official youth organization affiliated with the Communist Party.
  • D. VLY
    VLY is the IATA airport code for Royal Air Force Valley, a military airbase on the island of Anglesey in Wales.
  • E. VZL
    VZL is the station code for Vijzelgracht metro station on Amsterdam’s North–South metro line.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558f87b081909ba179b49bae3913 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656a86ff48190bd3debd30e11df80 completed May 2, 2026, 7:55 p.m.
NED2 Entity disambiguation (via description) batch_69f657b1b13c8190984300f24c0b2083 completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 11:49 p.m.