Triple
T25034971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ascent of Money |
E626950
|
entity |
| Predicate | firstBroadcastOfAdaptation |
P37243
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [The Ascent of Money, firstBroadcastOfAdaptation, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBroadcastOfAdaptation Context triple: [The Ascent of Money, firstBroadcastOfAdaptation, 2008]
-
A.
firstBroadcastSeries
Indicates that one series was the first to be broadcast within a particular context, channel, or sequence of series.
-
B.
firstAiredInAdaptation
Indicates that an adaptation of a work was first broadcast or released in a specified location or context.
-
C.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
-
D.
firstBroadcast
chosen
Indicates the date or event of the initial public transmission or airing of a program, signal, or content.
-
E.
firstAppearanceEpisode
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 18, 2026, 6:08 a.m.