Triple

T5112737
Position Surface form Disambiguated ID Type / Status
Subject Dynasties E115254 entity
Predicate alsoKnownAs P39 FINISHED
Object Dynasties I E115254 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: Dynasties I | Statement: [Dynasties, alsoKnownAs, Dynasties I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dynasties I
Context triple: [Dynasties, alsoKnownAs, Dynasties I]
  • A. Dynasties chosen
    Dynasties is a BBC nature documentary series that follows individual animal families over time, revealing their complex social structures, struggles, and survival strategies.
  • B. DYNASTY
    DYNASTY is the radio callsign used by China Airlines for its commercial flight operations.
  • C. Dynasty
    Dynasty is a popular 1980s American prime-time television soap opera centered on the wealthy and powerful Carrington family.
  • D. The Dynasty
    The Dynasty is a nonfiction book by Jeff Benedict that chronicles the rise, dominance, and inner workings of the New England Patriots NFL franchise.
  • E. Dynasty (TV series)
    Dynasty is a popular 1980s American prime-time soap opera centered on the wealthy Carrington family and their dramatic power struggles, romances, and rivalries.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75cba1e88190af076657f846b975 completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaaa394c8190bd93cdf57475a5b6 completed March 21, 2026, 3:35 p.m.
Created at: March 20, 2026, 1:41 p.m.