Triple
T33198969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narrator (Joseph and the Amazing Technicolor Dreamcoat) |
E849847
|
entity |
| Predicate | guidesThroughEventsOf |
P176177
|
FINISHED |
| Object | biblical story of Joseph |
—
|
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: biblical story of Joseph | Statement: [Narrator (Joseph and the Amazing Technicolor Dreamcoat), guidesThroughEventsOf, biblical story of Joseph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guidesThroughEventsOf Context triple: [Narrator (Joseph and the Amazing Technicolor Dreamcoat), guidesThroughEventsOf, biblical story of Joseph]
-
A.
guidesAfterEvent
Indicates that one entity provides guidance or direction to another entity following a specific event or occurrence.
-
B.
recordsEventsVia
Indicates that one entity captures or logs events through the mechanism, system, or medium provided by another entity.
-
C.
includesEvents
Indicates that one entity contains or encompasses one or more events as part of its scope or composition.
-
D.
featuresEventsFor
Indicates that something presents, highlights, or includes specific events as part of its content or offering.
-
E.
featuresEvent
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
- F. None of above. chosen
Provenance (4 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6dd3b335481909e24d4eb5b0269f9 |
completed | May 3, 2026, 5:29 a.m. |
Created at: May 1, 2026, 1:29 a.m.