Triple
T1288934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William F. Buckley Jr. |
E27499
|
entity |
| Predicate | televisionShowRuntime |
P21649
|
FINISHED |
| Object | Firing Line ran from 1966 to 1999 |
—
|
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: Firing Line ran from 1966 to 1999 | Statement: [William F. Buckley Jr., televisionShowRuntime, Firing Line ran from 1966 to 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionShowRuntime Context triple: [William F. Buckley Jr., televisionShowRuntime, Firing Line ran from 1966 to 1999]
-
A.
hasEpisodeRuntime
Indicates the duration of time that each individual episode of a series or show runs.
-
B.
seriesLengthMinimum
Indicates that the length of a series must be at least a specified minimum value.
-
C.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
D.
showDuration
chosen
Indicates the length of time for which something is shown, displayed, or performed.
-
E.
seriesLengthMaximum
Indicates the maximum allowable or observed length (e.g., number of items or installments) in a series.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d38d7c81908941edda9cac5d6a |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee41ca08190b0ad6f7ea40c0b62 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.