Triple
T13915221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master of the Third Veil |
E334603
|
entity |
| Predicate | positionInOfficerLine |
P18925
|
FINISHED |
| Object | one of the three veil masters |
—
|
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: one of the three veil masters | Statement: [Master of the Third Veil, positionInOfficerLine, one of the three veil masters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInOfficerLine Context triple: [Master of the Third Veil, positionInOfficerLine, one of the three veil masters]
-
A.
partOfOfficerLine
Indicates that one entity is a member or segment of a sequence or formation of officers.
-
B.
positionInLineup
chosen
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
C.
positionInFormation
Indicates the relative place or role an entity occupies within an organized formation or arrangement.
-
D.
positionOnLine
Indicates that one entity occupies a specific location along a defined line or linear path in relation to another.
-
E.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27260ae08190be45b4b15898e365 |
completed | April 14, 2026, 11:38 a.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:16 p.m.