Triple

T9615974
Position Surface form Disambiguated ID Type / Status
Subject Crush E232219 entity
Predicate helpsCharacter P7748 FINISHED
Object Marlin E232218 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: Marlin | Statement: [Crush, helpsCharacter, Marlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlin
Context triple: [Crush, helpsCharacter, Marlin]
  • A. Marlin chosen
    Marlin is the cautious and devoted clownfish father from Pixar's "Finding Nemo" franchise, known for his ocean-spanning quest to rescue his son.
  • B. Billy the Marlin
    Billy the Marlin is the colorful, anthropomorphic marlin who serves as the energetic official mascot of Major League Baseball’s Miami Marlins.
  • C. Tiburon
    Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
  • D. Tiburon
    Tiburon is a coastal commune in southwestern Haiti known for its location on the Tiburon Peninsula along the Caribbean Sea.
  • E. Ladyfish
    Ladyfish is a supporting animated fish character who serves as the love interest of the title character in the 1964 fantasy-comedy film "The Incredible Mr. Limpet."
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aad71a0819084ea00c2409e9922 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1795e7be08190a088e49a79251570 completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:09 p.m.