Triple

T14959027
Position Surface form Disambiguated ID Type / Status
Subject Pam Dawber E373010 entity
Predicate notableWork P4 FINISHED
Object Stay Tuned E776464 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: Stay Tuned | Statement: [Pam Dawber, notableWork, Stay Tuned]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stay Tuned
Context triple: [Pam Dawber, notableWork, Stay Tuned]
  • A. Stay Tuned chosen
    "Stay Tuned" is a 1992 dark fantasy-comedy film about a couple trapped inside a demonic satellite TV system, for which John Frizzell composed the musical score.
  • B. Stay Up
    Stay Up is an alternative title for the adult-themed film "Stay Up! (Viagra)," which centers on comedic and erotic situations involving the famous erectile dysfunction medication.
  • C. The Tune-Up
    The Tune-Up is a podcast cohosted by musician and radio personality Benny Horowitz, featuring conversations that blend music, culture, and personal storytelling.
  • D. Turn It On
    "Turn It On" is a country-rock album by Kevin Costner & Modern West that showcases the actor's musical pursuits with a blend of storytelling lyrics and Americana-influenced sound.
  • E. Catch Up
    "Catch Up" is a track by American rapper Ludacris featured on his debut studio album "Back for the First Time."
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7ea1d78c81909b877fda05ef9231 completed May 9, 2026, 12:24 a.m.
Created at: April 10, 2026, 2:40 a.m.