Triple

T6415192
Position Surface form Disambiguated ID Type / Status
Subject David Belasco E127807 entity
Predicate familyName P18 FINISHED
Object Belasco
Belasco is a surname most notably associated with David Belasco, a prominent American theatrical producer, director, and playwright of the late 19th and early 20th centuries.
 E592371 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: Belasco | Statement: [David Belasco, familyName, Belasco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belasco
Context triple: [David Belasco, familyName, Belasco]
  • A. Belasco House
    Belasco House is the infamous haunted mansion at the center of Richard Matheson’s horror novel *The Legend of Hell House*, notorious for its violent supernatural phenomena and dark history.
  • B. Petrocelli
    Petrocelli is an Italian surname most notably associated with former Boston Red Sox All-Star infielder Rico Petrocelli.
  • C. Cipriani
    Cipriani is a surname most prominently associated with Juan Luis Cipriani Thorne, a Peruvian cardinal of the Roman Catholic Church and former Archbishop of Lima.
  • D. Bonino
    Bonino is an Italian surname borne by various notable figures in politics, sports, and the arts.
  • E. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • 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: Belasco
Triple: [David Belasco, familyName, Belasco]
Generated description
Belasco is a surname most notably associated with David Belasco, a prominent American theatrical producer, director, and playwright of the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belasco
Target entity description: Belasco is a surname most notably associated with David Belasco, a prominent American theatrical producer, director, and playwright of the late 19th and early 20th centuries.
  • A. Belasco House
    Belasco House is the infamous haunted mansion at the center of Richard Matheson’s horror novel *The Legend of Hell House*, notorious for its violent supernatural phenomena and dark history.
  • B. Petrocelli
    Petrocelli is an Italian surname most notably associated with former Boston Red Sox All-Star infielder Rico Petrocelli.
  • C. Cipriani
    Cipriani is a surname most prominently associated with Juan Luis Cipriani Thorne, a Peruvian cardinal of the Roman Catholic Church and former Archbishop of Lima.
  • D. Bonino
    Bonino is an Italian surname borne by various notable figures in politics, sports, and the arts.
  • E. Blodgett
    Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068e6bd3881909b1979de5cdf17fb completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640caaed881908ff9863b1b792ebc completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c641d6024c8190996aae40851a3b73 completed March 27, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_69c6425e0a348190bc1eb90eb8c00597 completed March 27, 2026, 8:39 a.m.
Created at: March 22, 2026, 4:42 p.m.