Triple
T7148029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dean Scream speech |
E166617
|
entity |
| Predicate | replayedOn |
P75116
|
FINISHED |
| Object | television 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: television news | Statement: [Dean Scream speech, replayedOn, television news]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replayedOn Context triple: [Dean Scream speech, replayedOn, television news]
-
A.
reconstructedDuring
Indicates that an entity was rebuilt, restored, or significantly repaired within a specified time period or event.
-
B.
reappearsAt
Indicates that an entity, after having disappeared or been absent, becomes present again at a specific location or point in time.
-
C.
laterRecordedIn
Indicates that the referenced information or event was documented or captured at a later time in the specified source or record.
-
D.
reconstructedAfter
Indicates that one entity has been rebuilt, restored, or reassembled following the occurrence or existence of another entity or event.
-
E.
reopenedAfter
Indicates that an entity was closed or inactive and then opened or made active again following a specified prior event or time.
- 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.