Triple

T6954927
Position Surface form Disambiguated ID Type / Status
Subject Deepwater Horizon E161217 entity
Predicate screenwriter P2831 FINISHED
Object Matthew Sand
Matthew Sand is a screenwriter best known for co-writing the disaster drama film "Deepwater Horizon."
 E630834 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: Matthew Sand | Statement: [Deepwater Horizon, screenwriter, Matthew Sand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthew Sand
Context triple: [Deepwater Horizon, screenwriter, Matthew Sand]
  • A. Elias Pearce
    Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
  • B. Owen Moran
    Owen Moran was a prominent early 20th-century English featherweight boxer known for his toughness and for facing many of the era’s top fighters.
  • C. Justin Ripley
    Justin Ripley is a loyal and principled young detective in the British crime drama series "Luther," serving as John Luther’s trusted partner and moral anchor.
  • D. Adam Bell
    Adam Bell is the protagonist of the psychological thriller film "Enemy," a history professor who becomes obsessed with uncovering the truth after discovering a man who appears to be his exact double.
  • E. Aidan Murphy
    Aidan Murphy is the Irish actor better known professionally as Aidan Gillen, recognized for roles in series like "The Wire" and "Game of Thrones."
  • 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: Matthew Sand
Triple: [Deepwater Horizon, screenwriter, Matthew Sand]
Generated description
Matthew Sand is a screenwriter best known for co-writing the disaster drama film "Deepwater Horizon."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthew Sand
Target entity description: Matthew Sand is a screenwriter best known for co-writing the disaster drama film "Deepwater Horizon."
  • A. Elias Pearce
    Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
  • B. Owen Moran
    Owen Moran was a prominent early 20th-century English featherweight boxer known for his toughness and for facing many of the era’s top fighters.
  • C. Justin Ripley
    Justin Ripley is a loyal and principled young detective in the British crime drama series "Luther," serving as John Luther’s trusted partner and moral anchor.
  • D. Adam Bell
    Adam Bell is the protagonist of the psychological thriller film "Enemy," a history professor who becomes obsessed with uncovering the truth after discovering a man who appears to be his exact double.
  • E. Aidan Murphy
    Aidan Murphy is the Irish actor better known professionally as Aidan Gillen, recognized for roles in series like "The Wire" and "Game of Thrones."
  • 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.