Triple

T9060230
Position Surface form Disambiguated ID Type / Status
Subject The Haves and the Have Nots E217101 entity
Predicate pictureFormat P130 FINISHED
Object HDTV E386783 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: HDTV | Statement: [The Haves and the Have Nots, pictureFormat, HDTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HDTV
Context triple: [The Haves and the Have Nots, pictureFormat, HDTV]
  • A. HDTV chosen
    HDTV (High-Definition Television) is a television broadcasting standard that delivers significantly higher resolution, improved picture clarity, and better color quality compared to traditional standard-definition TV.
  • B. HD DVD
    HD DVD was a now-obsolete high-definition optical disc format developed as a successor to DVD that competed with Blu-ray Disc in the mid-2000s format war.
  • C. HD
    HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
  • D. HD
    HD is the vehicle registration code used for the German city of Heidelberg.
  • E. HD
    HD is the standard astronomical abbreviation for the Henry Draper Catalogue, a widely used star catalog that assigns spectral classifications and identifiers to hundreds of thousands of stars.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7eca6d8c8190b1a11a60d6649f78 completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebeceab88190b1f4bc0bc6a4c389 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.