Triple
T5228958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hancock's Half Hour |
E118060
|
entity |
| Predicate | lastRadioBroadcastDate |
P7731
|
FINISHED |
| Object | 1961 |
—
|
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: 1961 | Statement: [Hancock's Half Hour, lastRadioBroadcastDate, 1961]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastRadioBroadcastDate Context triple: [Hancock's Half Hour, lastRadioBroadcastDate, 1961]
-
A.
lastBroadcastDate
Indicates the date on which something (such as a program, message, or signal) was most recently broadcast.
-
B.
lastKnownSpeakersDate
Indicates the date on which the last known speakers of a language or dialect were recorded or documented.
-
C.
wasBroadcastOn
Indicates that a media item (such as a program, episode, or event) was transmitted or aired via a particular broadcast channel, station, or network.
-
D.
lastLaunchDate
Indicates the date on which the most recent launch event associated with an entity occurred.
-
E.
lastAired
chosen
Indicates the most recent time or date on which something (typically a broadcast or episode) was shown or transmitted.
- F. None of above.
Provenance (3 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. |
Created at: March 20, 2026, 1:48 p.m.