Triple
T9465979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Night |
E228270
|
entity |
| Predicate | hostTenureJimmyFallonEnd |
P74009
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Late Night, hostTenureJimmyFallonEnd, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostTenureJimmyFallonEnd Context triple: [Late Night, hostTenureJimmyFallonEnd, 2014]
-
A.
hostFranchise
Indicates that one entity serves as the host organization or location for a particular franchise associated with another entity.
-
B.
endTimeOfHosting
chosen
Indicates the specific time at which a hosting event, session, or arrangement concludes.
-
C.
hostedDuring
Indicates that one entity hosted, organized, or held another entity (such as an event or activity) within a specified time period.
-
D.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
E.
tenantsEnd
Indicates that a tenancy or lease relationship between parties comes to an end at a specified time or under certain conditions.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdc08f08190ad17de08d2c2eca2 |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55caaa8819089c5138e014892d3 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:53 p.m.