Triple
T31393437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Late Shift in NBC late-night lineup |
E800796
|
entity |
| Predicate | involvesShow |
P1256
|
FINISHED |
| Object | The Tonight Show |
—
|
NE NERFINISHED |
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: The Tonight Show | Statement: [The Late Shift in NBC late-night lineup, involvesShow, The Tonight Show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesShow Context triple: [The Late Shift in NBC late-night lineup, involvesShow, The Tonight Show]
-
A.
involves
chosen
Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
-
B.
mayBeInvolvedIn
Indicates that an entity has a possible, but not certain, participation or role in a particular event, activity, or situation.
-
C.
oftenInvolvedWith
Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving another entity.
-
D.
showsThat
Indicates that one entity demonstrates, proves, or provides evidence for the truth or validity of another.
-
E.
involvesTitle
Indicates that the relationship or action includes or makes reference to a specific title (such as a role, honorific, or formal designation).
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 29, 2026, 9:19 p.m.