Triple

T17568717
Position Surface form Disambiguated ID Type / Status
Subject PassthroughSubject E427881 entity
Predicate replaysPastValuesToNewSubscribers P128009 FINISHED
Object false 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: false | Statement: [PassthroughSubject, replaysPastValuesToNewSubscribers, false]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: replaysPastValuesToNewSubscribers
Context triple: [PassthroughSubject, replaysPastValuesToNewSubscribers, false]
  • A. hasReplay
    Indicates that an event, action, or interaction is available to be viewed or experienced again in a recorded or reconstructed form.
  • B. laterBroadcastIn
    Indicates that a broadcast of some content occurred in a specified place or medium at a later time than an earlier broadcast.
  • C. hasReplayRuleHistorically
    Indicates that a replay rule applied to an entity at some point in the past, regardless of whether it is still in effect now.
  • D. replayedOn
    Indicates that an event, performance, or recording was played again on a particular medium, platform, or channel.
  • E. previouslyObserved
    Indicates that the subject entity has been seen, recorded, or encountered at some earlier time prior to the current context.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592f29d08190bc3de905d35af849 completed April 19, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69e3b4fd7d048190b54ee4c6155612a5 completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb50b448190a59dd4be33c76db7 completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:50 a.m.