Triple

T5142555
Position Surface form Disambiguated ID Type / Status
Subject Tom Holland E115991 entity
Predicate wrote P2831 FINISHED
Object Cloak & Dagger E443037 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: Cloak & Dagger | Statement: [Tom Holland, wrote, Cloak & Dagger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cloak & Dagger
Context triple: [Tom Holland, wrote, Cloak & Dagger]
  • A. Cloak & Dagger chosen
    Cloak & Dagger is a Marvel Comics–based television series that follows two teenagers with interconnected superpowers navigating crime, corruption, and their growing bond.
  • B. Marvel’s Runaways
    Marvel’s Runaways is a television series based on the Marvel Comics about a group of teenagers who discover their parents are part of an evil criminal organization and band together to stop them.
  • C. Legion
    Legion is Lenovo's gaming-focused brand of high-performance laptops, desktops, and related PC hardware.
  • D. Legion
    "Legion" is a 2010 supernatural action-horror film in which archangel Michael defies God to protect humanity from an impending apocalypse.
  • E. Legion
    Legion is a powerful extraterrestrial kaiju from the Gamera film series, known for its insect-like appearance and role as one of Gamera’s most formidable adversaries.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ff1c081909a6954aa76e12cbf completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfec5c108190a3882c25118179a7 completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:43 p.m.