Triple
T32192834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagpiper |
E822307
|
entity |
| Predicate | firstBroadcastInEpisode |
P206224
|
FINISHED |
| Object | Five Characters in Search of an Exit |
E237696
|
NE 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: Five Characters in Search of an Exit | Statement: [Bagpiper, firstBroadcastInEpisode, Five Characters in Search of an Exit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBroadcastInEpisode Context triple: [Bagpiper, firstBroadcastInEpisode, Five Characters in Search of an Exit]
-
A.
firstBroadcast
Indicates the date or event of the initial public transmission or airing of a program, signal, or content.
-
B.
firstBroadcastFor
Indicates that one entity is the initial or earliest broadcast instance associated with another entity (such as a program, episode, or event).
-
C.
firstBroadcastBy
Indicates that one entity is the original broadcaster or channel that first aired the other entity (such as a program, event, or content).
-
D.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
-
E.
firstBroadcastSeries
Indicates that one series was the first to be broadcast within a particular context, channel, or sequence of series.
- F. None of above. chosen
Provenance (5 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f46c42fe48190b4cdfbaa8c156659 |
completed | June 15, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:35 a.m.