Triple
T33563956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buck Henry |
E859703
|
entity |
| Predicate | numberOfTimesHostedSaturdayNightLive |
P114761
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Buck Henry, numberOfTimesHostedSaturdayNightLive, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesHostedSaturdayNightLive Context triple: [Buck Henry, numberOfTimesHostedSaturdayNightLive, 10]
-
A.
numberOfTimesHostedSNL
chosen
Indicates how many times an entity has served as the host of the television show Saturday Night Live.
-
B.
isAnnualHostOf
Indicates that an entity regularly serves as the recurring host of a particular event or activity each year.
-
C.
hasBeenHostOf
Indicates that an entity has previously served in the role of host for another entity, such as an event, show, or program.
-
D.
wasGuestHostOf
Indicates that one entity temporarily served as a guest host for another entity’s show, program, or event.
-
E.
televisionShowHost
Indicates that one entity serves as the host or presenter of a television show involving the other entity.
- 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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a032d9200448190a2adcc5ee48bff01 |
completed | May 12, 2026, 1:39 p.m. |
| PD | Predicate disambiguation | batch_6a032c9f41f08190b1c60b0afbbac01a |
completed | May 12, 2026, 1:35 p.m. |
Created at: May 1, 2026, 1:40 a.m.