Triple

T15464636
Position Surface form Disambiguated ID Type / Status
Subject First Monday Trade Days E371999 entity
Predicate alsoKnownAs P39 FINISHED
Object First Monday E722659 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: First Monday | Statement: [First Monday Trade Days, alsoKnownAs, First Monday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: First Monday
Context triple: [First Monday Trade Days, alsoKnownAs, First Monday]
  • A. First Monday chosen
    First Monday is an American legal drama television series centered on the inner workings and ideological clashes of the U.S. Supreme Court.
  • B. First Sunday
    First Sunday is a 2008 American comedy film about two petty criminals who attempt to rob a church, starring Ice Cube, Tracy Morgan, and Katt Williams.
  • C. First Monday Trade Days
    First Monday Trade Days is a massive, long-running outdoor flea market and trade event held monthly in Canton, Texas, drawing vendors and visitors from across the region.
  • D. Monday Morning
    "Monday Morning" is a song from Christina Aguilera's 2010 electro-pop and R&B-influenced album *Bionic*.
  • E. Monday Morning
    "Monday Morning" is a 2002 French-Georgian comedy-drama film by director Otar Iosseliani that follows the quiet, routine-bound life of a factory worker in a small European town.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f680cec8190836a5ec841dee224 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cff942081908a2f5351079666a3 completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:33 a.m.