Triple

T20362643
Position Surface form Disambiguated ID Type / Status
Subject Audrey Meadows E496819 entity
Predicate televisionSeries P3279 FINISHED
Object Too Close for Comfort NE NERFINISHED

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: Too Close for Comfort | Statement: [Audrey Meadows, televisionSeries, Too Close for Comfort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Too Close for Comfort
Context triple: [Audrey Meadows, televisionSeries, Too Close for Comfort]
  • A. Too Close for Comfort chosen
    Too Close for Comfort is an American sitcom from the 1980s starring Ted Knight as a protective father and cartoonist living with his adult daughters in San Francisco.
  • B. Too Close
    "Too Close" is a 1998 R&B hit single by American group Next, best known for its sensual lyrics and chart-topping success.
  • C. Too Close
    "Too Close" is a 2011 electro-soul song by British singer Alex Clare that gained widespread popularity after being featured in a major Internet Explorer commercial.
  • D. Don’t Get Too Close
    Don’t Get Too Close is a 2023 studio album by American electronic music producer Skrillex that blends dubstep, pop, and experimental electronic styles with numerous vocal collaborations.
  • E. Dangerously Close
    Dangerously Close is a 1986 teen thriller film about a high school vigilante group whose campaign against "undesirable" students spirals into deadly violence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6786efd2c8190821932ddcdef1a2f completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.