Triple
T5228957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hancock's Half Hour |
E118060
|
entity |
| Predicate | firstRadioBroadcastDate |
P62480
|
FINISHED |
| Object | 1954 |
—
|
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: 1954 | Statement: [Hancock's Half Hour, firstRadioBroadcastDate, 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRadioBroadcastDate Context triple: [Hancock's Half Hour, firstRadioBroadcastDate, 1954]
-
A.
firstTelevisionBroadcast
Indicates that the subject is the entity responsible for the earliest or inaugural television broadcast of the object.
-
B.
firstTelecastOn
Indicates the date or event on which something, typically a program or broadcast, was first shown on television.
-
C.
firstNationalTelecastYear
Indicates the year in which something was first broadcast on national television.
-
D.
firstBroadcast
Indicates the date or event of the initial public transmission or airing of a program, signal, or content.
-
E.
firstRecordingDate
Indicates the date on which an entity’s first recording (e.g., audio, video, or similar captured performance) was made.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0093a88190aba381ba3f761408 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7aff0244819085c4799793ed0185 |
completed | March 20, 2026, 4:51 p.m. |
Created at: March 20, 2026, 1:48 p.m.