Triple
T28957386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Norton |
E731199
|
entity |
| Predicate | hasStandupSpecial |
P62152
|
FINISHED |
| Object | Monster Rain |
—
|
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: Monster Rain | Statement: [Jim Norton, hasStandupSpecial, Monster Rain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandupSpecial Context triple: [Jim Norton, hasStandupSpecial, Monster Rain]
-
A.
hasStandUpSpecial
chosen
Indicates that an entity has created, performed, or released a stand-up comedy special.
-
B.
hasTVSpecial
Indicates that an entity has an associated television special featuring it as the main subject or focus.
-
C.
performedStandUpOn
Indicates that one entity conducted or participated in a stand-up meeting on a specific date or occasion with respect to another entity.
-
D.
performedStandUpIn
Indicates that an entity conducted or participated in a stand-up performance or show at a specific location or venue.
-
E.
standUpSpecialDistributedBy
Indicates that a stand-up comedy special is distributed or released by a particular company or platform.
- 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_69f043eb9bcc819091ac7b07aecb6475 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: April 28, 2026, 8:48 a.m.