Triple
T7148073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean Scream |
E166618
|
entity |
| Predicate | replayFrequency |
P75118
|
FINISHED |
| Object | replayed hundreds of times on cable news |
—
|
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: replayed hundreds of times on cable news | Statement: [Dean Scream, replayFrequency, replayed hundreds of times on cable news]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replayFrequency Context triple: [Dean Scream, replayFrequency, replayed hundreds of times on cable news]
-
A.
usesInstantReplay
Indicates that an entity employs instant replay technology or review during an event, action, or decision process.
-
B.
broadcastFrequency
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
-
C.
broadcastFrequencyType
Indicates the type or category of frequency used for broadcasting a signal or transmission.
-
D.
replacedFrequency
Indicates how often one entity is substituted for or takes the place of another over a given period.
-
E.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d6313c8190bdd34e700fc65502 |
completed | March 27, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69c6e1caf4e48190b47bb398a3c1554d |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:46 p.m.