Triple

T11572637
Position Surface form Disambiguated ID Type / Status
Subject Bounty Law E274427 entity
Predicate inUniverseNetworkType P100386 FINISHED
Object American broadcast television LITERAL 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: American broadcast television | Statement: [Bounty Law, inUniverseNetworkType, American broadcast television]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: inUniverseNetworkType
Context triple: [Bounty Law, inUniverseNetworkType, American broadcast television]
  • A. inUniverseType
    Indicates that one entity exists within, or is categorized as belonging to, a particular fictional or conceptual universe type defined by the other entity.
  • B. inNetwork
    Indicates that one entity is within the same defined network, system, or coverage group as another entity, such that network-based interactions or benefits apply between them.
  • C. isOnNetwork
    Indicates that an entity is currently connected to, accessible through, or operating within a specified network.
  • D. inUniverseRegion
    Indicates that an entity is located within or belongs to a specific universe-defined region or area.
  • E. inUniverseLocationType
    Indicates the type or category of location that something occupies within a fictional or defined universe or setting.
  • F. None of above. chosen

Provenance (4 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69d85dcbacd0819094d4a1237055affa completed April 10, 2026, 2:17 a.m.
PDg Predicate description generation batch_69d87f2e67108190ac36bf47aac12fa8 completed April 10, 2026, 4:40 a.m.
Created at: April 8, 2026, 9:38 p.m.