Triple

T4517447
Position Surface form Disambiguated ID Type / Status
Subject Mr. Big – Dr. Kananga E103185 entity
Predicate associatedWith P37 FINISHED
Object Solitaire E103183 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: Solitaire | Statement: [Mr. Big – Dr. Kananga, associatedWith, Solitaire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solitaire
Context triple: [Mr. Big – Dr. Kananga, associatedWith, Solitaire]
  • A. Solitaire chosen
    Solitaire is a fictional psychic tarot reader and Bond girl who appears as a key ally and love interest to James Bond in the novel and film "Live and Let Die."
  • B. Solitaire
    Solitaire is a classic single-player card game that became widely known through its inclusion as a standard game on early Microsoft Windows operating systems.
  • C. UNO
    UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
  • D. UNO
    UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
  • E. Tarok
    The Tarok are an ethnic group in central Nigeria known for their rich cultural traditions, agriculture, and distinctive language within the Benue–Congo family.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd572933408190b67c4ef6a7babe75 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f93a6808190bc1290232998184c completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:02 p.m.