Triple

T4506873
Position Surface form Disambiguated ID Type / Status
Subject Charter Communications E101349 entity
Predicate rebrandedAs P65 FINISHED
Object Spectrum E101350 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: Spectrum | Statement: [Charter Communications, rebrandedAs, Spectrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spectrum
Context triple: [Charter Communications, rebrandedAs, Spectrum]
  • A. Spectrum
    Spectrum was a historic indoor sports and entertainment arena in Philadelphia that hosted professional hockey, basketball, concerts, and major events from the late 1960s until its closure and demolition.
  • B. Spectrum chosen
    Spectrum is a major American telecommunications brand providing cable television, internet, and phone services, owned by Charter Communications.
  • C. Spektr
    Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
  • D. SPECTRA
    SPECTRA is an advanced integrated electronic warfare and self-protection suite used on modern combat aircraft, notably the Dassault Rafale, to detect, jam, and counter threats.
  • E. Spectral
    Spectral is a 2016 military science fiction film that follows a special-ops team confronting ghostly entities in a war-torn Eastern European city.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd570e7bb8819097f7a575384a10a8 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda41dd58081908b8d8779a71f3c97 completed March 20, 2026, 7:46 p.m.
Created at: March 20, 2026, 1:01 p.m.