Triple

T13002461
Position Surface form Disambiguated ID Type / Status
Subject Class B common stock E322201 entity
Predicate associatedCompanyTicker P1447 FINISHED
Object CMCSA E83559 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: CMCSA | Statement: [Class B common stock, associatedCompanyTicker, CMCSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMCSA
Context triple: [Class B common stock, associatedCompanyTicker, CMCSA]
  • A. CMCSA chosen
    CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
  • B. MCS
    MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
  • C. MCS
    MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
  • D. MCS
    MCS is a scientific instrument aboard NASA’s Mars Reconnaissance Orbiter that measures the Martian atmosphere’s temperature, dust, and water vapor profiles.
  • E. MCS
    MCS is the stock ticker symbol for The Marcus Corporation, a U.S.-based company primarily known for its movie theaters and hospitality businesses.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9828748190b2ad9ea29180b7d3 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c103e49c8190a140527f24b5c799 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:47 p.m.