Triple
T5434733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Bunyan |
E121578
|
entity |
| Predicate | firstRunReception |
P9562
|
FINISHED |
| Object | mixed critical reception |
—
|
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: mixed critical reception | Statement: [Paul Bunyan, firstRunReception, mixed critical reception]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRunReception Context triple: [Paul Bunyan, firstRunReception, mixed critical reception]
-
A.
initialReception
chosen
Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
-
B.
firstSessionStart
Indicates the point in time when an entity’s very first session or interaction begins.
-
C.
firstRunViewership
Indicates the number of viewers who watched a program during its initial (first) broadcast or release.
-
D.
firstRunAt
Indicates the date and time at which an entity was first executed, launched, or run.
-
E.
firstBroadcast
Indicates the date or event of the initial public transmission or airing of a program, signal, or content.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:06 p.m.