Triple

T6954946
Position Surface form Disambiguated ID Type / Status
Subject Deepwater Horizon E161217 entity
Predicate characterPortrayed P1507 FINISHED
Object Mike Williams
Mike Williams is the real-life chief electronics technician whose experiences during the 2010 Deepwater Horizon oil rig disaster were dramatized in the film "Deepwater Horizon."
E630838 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: Mike Williams | Statement: [Deepwater Horizon, characterPortrayed, Mike Williams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Williams
Context triple: [Deepwater Horizon, characterPortrayed, Mike Williams]
  • A. Mike Williams
    Mike Williams is a Swedish computer scientist best known as one of the creators of the Erlang programming language.
  • B. Len Williams
    Len Williams was a British classical guitar teacher and promoter best known as the father and early mentor of renowned guitarist John Williams.
  • C. Jason Williams
    Jason Williams is a former American NBA point guard known for his flashy playmaking and crowd-pleasing style, particularly during his time with the Sacramento Kings.
  • D. Jason Williams
    Jason Williams is the brother of American actress Michelle Williams.
  • E. Andre Williams
    Andre Williams is a character in the film "Watch Over Me," contributing to the drama’s central interpersonal conflicts and emotional tension.
  • 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: Mike Williams
Triple: [Deepwater Horizon, characterPortrayed, Mike Williams]
Generated description
Mike Williams is the real-life chief electronics technician whose experiences during the 2010 Deepwater Horizon oil rig disaster were dramatized in the film "Deepwater Horizon."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mike Williams
Target entity description: Mike Williams is the real-life chief electronics technician whose experiences during the 2010 Deepwater Horizon oil rig disaster were dramatized in the film "Deepwater Horizon."
  • A. Mike Williams
    Mike Williams is a Swedish computer scientist best known as one of the creators of the Erlang programming language.
  • B. Len Williams
    Len Williams was a British classical guitar teacher and promoter best known as the father and early mentor of renowned guitarist John Williams.
  • C. Jason Williams
    Jason Williams is a former American NBA point guard known for his flashy playmaking and crowd-pleasing style, particularly during his time with the Sacramento Kings.
  • D. Jason Williams
    Jason Williams is the brother of American actress Michelle Williams.
  • E. Andre Williams
    Andre Williams is a character in the film "Watch Over Me," contributing to the drama’s central interpersonal conflicts and emotional tension.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c759a5eebc8190934ea04a2ce20287 completed March 28, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c75a19d27c819089cfa625dfccfe6f completed March 28, 2026, 4:33 a.m.
Created at: March 27, 2026, 2:29 p.m.