Triple

T3194733
Position Surface form Disambiguated ID Type / Status
Subject Paula Patton E66906 entity
Predicate workedOn P3 FINISHED
Object Baggage Claim E218600 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: Baggage Claim | Statement: [Paula Patton, workedOn, Baggage Claim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baggage Claim
Context triple: [Paula Patton, workedOn, Baggage Claim]
  • A. Baggage Claim chosen
    Baggage Claim is a 2013 romantic comedy film based on David E. Talbert’s novel, following a flight attendant’s frantic quest to find a husband before her younger sister’s wedding.
  • B. Departure
    Departure is a notable album titled "Journey," recognized for its musical significance within the artist's discography.
  • C. Terminal 1
    Terminal 1 is one of the passenger terminals at Los Angeles International Airport, primarily serving domestic flights for several major U.S. airlines.
  • D. Terminal 1
    Terminal 1 is a passenger terminal at San Francisco International Airport that serves as one of the airport’s main facilities for airline check-in, security, and boarding.
  • E. Terminal 1
    Terminal 1 is a major passenger terminal at Guangzhou Baiyun International Airport, serving as one of the airport’s primary hubs for domestic and international flights.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada714dbcc8190a7ad21b3c957f151 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262181a4c8190b31bbb6bd7bef436 completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.