Triple

T8576089
Position Surface form Disambiguated ID Type / Status
Subject Robert Elswit E203051 entity
Predicate familyName P18 FINISHED
Object Elswit
Elswit is the surname of Robert Elswit, an acclaimed American cinematographer known for his work on films such as "There Will Be Blood."
 E743685 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: Elswit | Statement: [Robert Elswit, familyName, Elswit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elswit
Context triple: [Robert Elswit, familyName, Elswit]
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • C. Walwen
    Walwen is an alternative medieval name for Sir Gawain, one of the most famous Knights of the Round Table in Arthurian legend.
  • D. Teckberg
    Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
  • E. Ehling
    Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
  • 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: Elswit
Triple: [Robert Elswit, familyName, Elswit]
Generated description
Elswit is the surname of Robert Elswit, an acclaimed American cinematographer known for his work on films such as "There Will Be Blood."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elswit
Target entity description: Elswit is the surname of Robert Elswit, an acclaimed American cinematographer known for his work on films such as "There Will Be Blood."
  • A. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • B. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • C. Walwen
    Walwen is an alternative medieval name for Sir Gawain, one of the most famous Knights of the Round Table in Arthurian legend.
  • D. Teckberg
    Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
  • E. Ehling
    Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea9638c081909a537cc44e485bee completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce899dd7d48190b44338b92ad68bd0 completed April 2, 2026, 3:22 p.m.
NEDg Description generation batch_69ce8c7ad5cc8190a50c8e15ce353d1d completed April 2, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d595d80819093a1b849bcb3c7c7 completed April 2, 2026, 3:38 p.m.
Created at: March 30, 2026, 6:21 p.m.