Triple

T7547173
Position Surface form Disambiguated ID Type / Status
Subject Ali al-Rida E178435 entity
Predicate residence P75 FINISHED
Object Marv E415178 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: Marv | Statement: [Ali al-Rida, residence, Marv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marv
Context triple: [Ali al-Rida, residence, Marv]
  • A. Marv chosen
    Marv is an ancient city in present-day Turkmenistan that was a major Silk Road hub and one of the great cultural and commercial centers of the Islamic world.
  • B. Marvin
    Marvin is the given first name of Pro Football Hall of Fame coach Marv Levy, known for leading the Buffalo Bills to four consecutive Super Bowl appearances.
  • C. Marvin
    Marvin is a given name most famously associated with Marvin Minsky, a pioneering cognitive scientist and co-founder of the field of artificial intelligence.
  • D. MARV
    MARV is a British film and television production company founded by producer Matthew Vaughn, known for movies such as "Kick-Ass," "Kingsman," and "Layer Cake."
  • E. Marvyn
    Marvyn is an English surname historically associated with families such as that of the Tudor-era politician James Marvyn.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89a7b2c8190b2ca57edbb4f0390 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2662f881909f65c936be9eab56 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.