Triple

T2535546
Position Surface form Disambiguated ID Type / Status
Subject Tim Robbins E56260 entity
Predicate familyName P18 FINISHED
Object Robbins
Robbins is a common English-language surname borne by numerous notable individuals across fields such as entertainment, literature, and academia.
 E274002 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: Robbins | Statement: [Tim Robbins, familyName, Robbins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Robbins
Context triple: [Tim Robbins, familyName, Robbins]
  • A. Robbins
    Robbins is the middle name of H. R. Haldeman, the influential White House Chief of Staff under U.S. President Richard Nixon and a central figure in the Watergate scandal.
  • B. Robertson
    Robertson is a common Scottish surname historically associated with the Highlands and borne by numerous notable figures in politics, sports, and the arts.
  • C. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • D. Resnick
    Resnick is a surname most notably associated with Mitchel Resnick, an influential researcher in learning sciences and creative technologies at the MIT Media Lab.
  • E. Brooks
    Brooks is a common English-language surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • 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: Robbins
Triple: [Tim Robbins, familyName, Robbins]
Generated description
Robbins is a common English-language surname borne by numerous notable individuals across fields such as entertainment, literature, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Robbins
Target entity description: Robbins is a common English-language surname borne by numerous notable individuals across fields such as entertainment, literature, and academia.
  • A. Robbins
    Robbins is the middle name of H. R. Haldeman, the influential White House Chief of Staff under U.S. President Richard Nixon and a central figure in the Watergate scandal.
  • B. Robertson
    Robertson is a common Scottish surname historically associated with the Highlands and borne by numerous notable figures in politics, sports, and the arts.
  • C. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • D. Resnick
    Resnick is a surname most notably associated with Mitchel Resnick, an influential researcher in learning sciences and creative technologies at the MIT Media Lab.
  • E. Brooks
    Brooks is a common English-language surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2965fe08190a4aedaf636076241 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2bbf248481908f588bc1cf46d168 completed March 9, 2026, 8:21 p.m.
NEDg Description generation batch_69af43444ba481909311e86f5ab3a2c9 completed March 9, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_69af43a2055c8190906a984afe0298c9 completed March 9, 2026, 10:03 p.m.
Created at: March 6, 2026, 9:47 p.m.