Triple

T12146866
Position Surface form Disambiguated ID Type / Status
Subject Zoë Wanamaker E289347 entity
Predicate familyName P18 FINISHED
Object Wanamaker E573521 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: Wanamaker | Statement: [Zoë Wanamaker, familyName, Wanamaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanamaker
Context triple: [Zoë Wanamaker, familyName, Wanamaker]
  • A. Wanamaker chosen
    Wanamaker is a prominent American surname historically associated with influential merchants, philanthropists, and cultural patrons.
  • B. Wanamaker's
    Wanamaker's was a pioneering American department store chain based in Philadelphia, known for introducing many modern retail innovations and grand, cathedral-like flagship stores.
  • C. Kaufmann’s department store
    Kaufmann’s department store was a prominent Pittsburgh-based retail chain best known for its flagship downtown store and its association with the Kaufmann family, patrons of architect Frank Lloyd Wright.
  • D. Gimbels department store
    Gimbels department store is a now-defunct American department store chain historically based in New York City and known for its rivalry with Macy’s.
  • E. R. H. Macy
    R. H. Macy was an American businessman and founder of the iconic Macy’s department store chain.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ac2ebc81909155f9b2fb4a2252 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f696ec648190aa43655ac8a2b312 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.