Triple

T3549233
Position Surface form Disambiguated ID Type / Status
Subject Robinson E75069 entity
Predicate hasCognate P2525 FINISHED
Object Robbins E274002 NE FINISHED

How this triple was built (2 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: [Robinson, hasCognate, Robbins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robbins
Context triple: [Robinson, hasCognate, 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. Robbins chosen
    Robbins is a common English-language surname borne by numerous notable individuals across fields such as entertainment, literature, and academia.
  • C. Rosenblum
    Rosenblum is a Jewish surname borne by various notable individuals, including Israeli journalist and politician Herzl Rosenblum.
  • D. Steele
    Steele is a surname most notably borne by Charles Steele Jr., an American civil rights leader and former president of the Southern Christian Leadership Conference.
  • E. Robertson
    Robertson is a common Scottish surname historically associated with the Highlands and borne by numerous notable figures in politics, sports, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd278348190ad2fa54f4a423541 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38be9335c81909ba546a079134c8f completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.