Triple

T3301248
Position Surface form Disambiguated ID Type / Status
Subject The Equalizer 3 E69335 entity
Predicate character P662 FINISHED
Object Robert McCall E347035 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: Robert McCall | Statement: [The Equalizer 3, character, Robert McCall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert McCall
Context triple: [The Equalizer 3, character, Robert McCall]
  • A. Robert McCall
    Robert McCall was an American space artist and illustrator renowned for his visionary depictions of space exploration and his artwork for NASA missions and popular science fiction films.
  • B. Robert McCall chosen
    Robert McCall is a former intelligence operative who uses his skills to vigilantly protect the vulnerable and deliver justice in "The Equalizer" franchise.
  • C. Henry Tucker
    Henry Tucker was a Bermudian politician who became the territory's first premier and played a key role in modernizing its political and economic landscape.
  • D. Thomas Mercer
    Thomas Mercer was a 19th-century Seattle-area pioneer and judge whose name was given to Mercer Island in Washington State.
  • E. Allan Scott
    Allan Scott was an American screenwriter best known for his work on classic Hollywood films of the 1930s and 1940s, particularly in the musical and comedy genres.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a7d224819080d9a638e08bb8a8 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35458a1248190b11e6756dfc318b7 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:11 p.m.