Triple

T17216546
Position Surface form Disambiguated ID Type / Status
Subject The Wedding Party E417866 entity
Predicate featuresCharacter P626 FINISHED
Object Alan E62825 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: Alan | Statement: [The Wedding Party, featuresCharacter, Alan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan
Context triple: [The Wedding Party, featuresCharacter, Alan]
  • A. Alan chosen
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • B. Alan
    The Alans were an ancient nomadic Iranian-speaking people of the Eurasian steppes, known for their skilled horsemanship and significant role in the migrations that shaped late antiquity Europe.
  • C. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • D. Andrew
    Andrew is a subway station in South Boston on the Massachusetts Bay Transportation Authority's Red Line.
  • E. Andrew
    Andrew is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s broadcast news staff.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dda6e6c81908dd96f653cd2cba0 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675381a0819094ed04eac636440b completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.