Triple
T3170565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme from "The Great Adventure" |
E66320
|
entity |
| Predicate | firstBroadcastInSeries |
P37243
|
FINISHED |
| Object | 1963–1964 television season |
—
|
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: 1963–1964 television season | Statement: [Theme from "The Great Adventure", firstBroadcastInSeries, 1963–1964 television season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBroadcastInSeries Context triple: [Theme from "The Great Adventure", firstBroadcastInSeries, 1963–1964 television season]
-
A.
firstBroadcast
chosen
Indicates the date or event of the initial public transmission or airing of a program, signal, or content.
-
B.
firstSeries
Indicates that one entity is the initial or earliest series in an ordered sequence of related series.
-
C.
firstTelecastOn
Indicates the date or event on which something, typically a program or broadcast, was first shown on television.
-
D.
firstAppearanceEpisode
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
-
E.
firstWorkInSeries
Indicates that a work is the initial installment or opening entry in a series or sequence of related works.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66c043081908eb23a4fe3420a78 |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0076b4819094628f1ad10b8f68 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.