Triple

T2950158
Position Surface form Disambiguated ID Type / Status
Subject Woods Hole Oceanographic Institution E79800 entity
Predicate operates P24 FINISHED
Object Alvin
Alvin is a deep-sea research submersible renowned for its crewed explorations of the ocean floor, including investigations of hydrothermal vents and the Titanic wreck.
 E314548 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: Alvin | Statement: [Woods Hole Oceanographic Institution, operates, Alvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alvin
Context triple: [Woods Hole Oceanographic Institution, operates, Alvin]
  • A. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • B. Alby
    Alby is a residential suburban locality within Botkyrka Municipality in the Stockholm metropolitan area of Sweden.
  • C. Lloyd
    Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
  • D. Lloyd
    Lloyd is a masculine given name of Welsh origin meaning "grey" or "grey-haired."
  • E. Melvin
    Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
  • 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: Alvin
Triple: [Woods Hole Oceanographic Institution, operates, Alvin]
Generated description
Alvin is a deep-sea research submersible renowned for its crewed explorations of the ocean floor, including investigations of hydrothermal vents and the Titanic wreck.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alvin
Target entity description: Alvin is a deep-sea research submersible renowned for its crewed explorations of the ocean floor, including investigations of hydrothermal vents and the Titanic wreck.
  • A. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • B. Alby
    Alby is a residential suburban locality within Botkyrka Municipality in the Stockholm metropolitan area of Sweden.
  • C. Lloyd
    Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
  • D. Lloyd
    Lloyd is a masculine given name of Welsh origin meaning "grey" or "grey-haired."
  • E. Melvin
    Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98f95da88190a036a18f39f221c2 completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc79f6d081908d3bbd52439f4d31 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b0fd07b82881908d52ab2db2f2e54c completed March 11, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b0fdba0fd88190a2e760f1770e846c completed March 11, 2026, 5:29 a.m.
Created at: March 8, 2026, 2:57 p.m.