Triple

T3385447
Position Surface form Disambiguated ID Type / Status
Subject Carla Gugino E71289 entity
Predicate notableWork P4 FINISHED
Object Snake Eyes E247488 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: Snake Eyes | Statement: [Carla Gugino, notableWork, Snake Eyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snake Eyes
Context triple: [Carla Gugino, notableWork, Snake Eyes]
  • A. Snake Eyes chosen
    Snake Eyes is a 1998 mystery-thriller film directed by Brian De Palma and starring Nicolas Cage, centered on a conspiracy unfolding during a high-profile boxing match in Atlantic City.
  • B. Corvo Attano
    Corvo Attano is the silent, masked royal protector-turned-assassin and primary playable protagonist of the Dishonored video game series.
  • C. Cobra
    Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
  • D. Cobra
    Cobra is a fictional terrorist organization and the primary antagonist faction in the G.I. Joe franchise.
  • E. Red Beard
    Red Beard is the English translation of "Barbarossa," the famous epithet of Holy Roman Emperor Frederick I, referring to his distinctive red facial hair.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ee5e188190912dcea494a12038 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33455ae2481908e6478cb240b31c1 completed March 12, 2026, 9:47 p.m.
Created at: March 8, 2026, 3:14 p.m.