Triple
T33265357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panthino |
E851628
|
entity |
| Predicate | relativeImportanceInWork |
P206402
|
FINISHED |
| Object | minor character |
—
|
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: minor character | Statement: [Panthino, relativeImportanceInWork, minor character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeImportanceInWork Context triple: [Panthino, relativeImportanceInWork, minor character]
-
A.
relativeImportanceToTeam2
Indicates the comparative level of importance or value that one entity has relative to another within the context of a team.
-
B.
resultImportance
Indicates that one entity specifies how significant, critical, or impactful the outcome or result of another entity is.
-
C.
parentWorkSignificance
Indicates the degree of importance or influence that a parent work has on the related work or context.
-
D.
relativeImportanceInCountry
Indicates the comparative significance or priority of something within the context of a specific country.
-
E.
relativeImportanceInFleet
Indicates the comparative significance or priority of an entity within the context of a fleet.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:32 a.m.