Triple

T3759955
Position Surface form Disambiguated ID Type / Status
Subject Danny Ocean E82136 entity
Predicate associatedWith P37 FINISHED
Object Basher Tarr
Basher Tarr is a skilled British explosives and munitions expert who serves as a key member of Danny Ocean’s heist crew in the Ocean’s film series.
E385762 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: Basher Tarr | Statement: [Danny Ocean, associatedWith, Basher Tarr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basher Tarr
Context triple: [Danny Ocean, associatedWith, Basher Tarr]
  • A. Trandal
    Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
  • B. Thoosa
    Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
  • C. Shazzer
    Shazzer is one of Bridget Jones’s outspoken, feminist best friends in the romantic comedy film "Bridget Jones: The Edge of Reason."
  • D. Sasna Tsrer
    Sasna Tsrer is an Armenian national epic about the legendary heroes of Sassoun who defend their land against foreign invaders.
  • E. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • 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: Basher Tarr
Triple: [Danny Ocean, associatedWith, Basher Tarr]
Generated description
Basher Tarr is a skilled British explosives and munitions expert who serves as a key member of Danny Ocean’s heist crew in the Ocean’s film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Basher Tarr
Target entity description: Basher Tarr is a skilled British explosives and munitions expert who serves as a key member of Danny Ocean’s heist crew in the Ocean’s film series.
  • A. Trandal
    Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
  • B. Thoosa
    Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
  • C. Shazzer
    Shazzer is one of Bridget Jones’s outspoken, feminist best friends in the romantic comedy film "Bridget Jones: The Edge of Reason."
  • D. Sasna Tsrer
    Sasna Tsrer is an Armenian national epic about the legendary heroes of Sassoun who defend their land against foreign invaders.
  • E. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc3d3f48190974cec104080949f completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5172abc81909cfa709ea866dc57 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e65f868c819099b4fbf129773e6d completed March 14, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69b4e6bc95cc8190852b833e111cd889 completed March 14, 2026, 4:40 a.m.
Created at: March 8, 2026, 3:35 p.m.