Triple

T12005258
Position Surface form Disambiguated ID Type / Status
Subject Tattoo You E285763 entity
Predicate followedBy P78 FINISHED
Object Undercover E285770 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: Undercover | Statement: [Tattoo You, followedBy, Undercover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Undercover
Context triple: [Tattoo You, followedBy, Undercover]
  • A. Undercover
    Undercover is a book by former CIA officer and Watergate conspirator E. Howard Hunt, detailing his experiences in espionage and covert operations.
  • B. Undercover
    Undercover is a British television drama series that follows a lawyer uncovering shocking secrets about her husband and the justice system.
  • C. Undercover chosen
    Undercover is a 1983 studio album by The Rolling Stones that blends rock with then-contemporary dance and new wave influences.
  • D. Undercovers
    Undercovers is an American action-spy television series created by J.J. Abrams that follows a married couple who are reactivated as CIA agents.
  • E. The Undercover Man
    The Undercover Man is a 1949 film noir crime drama about a Treasury agent’s relentless pursuit of a powerful mob boss, noted for its semi-documentary style and focus on tax evasion as a means to bring down organized crime.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c481a48190b311d6809808ef1b completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f642801881909a94d67c99bfd110 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:46 p.m.