Triple
T19521680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Time with Bill Maher |
E488413
|
entity |
| Predicate | hasBillMaherAs |
P2308
|
FINISHED |
| Object | host |
—
|
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: host | Statement: [Real Time with Bill Maher, hasBillMaherAs, host]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBillMaherAs Context triple: [Real Time with Bill Maher, hasBillMaherAs, host]
-
A.
hasComedyShows
Indicates that one entity offers, features, or includes comedy shows associated with another entity.
-
B.
hasComedyAlbum
Indicates that one entity possesses, has released, or is associated with a comedy album.
-
C.
hasPerson
chosen
Indicates that an entity is associated with or includes a specific person.
-
D.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
E.
hasCastMemberPlayingThemself
Indicates that a work includes a cast member who appears on screen portraying themself rather than a fictional character.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635a0b37c8190b70b7427c2e85f59 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:40 p.m.