Triple
T36793576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry III, Holy Roman Emperor |
E909118
|
entity |
| Predicate | usedRegnalNumber |
P186302
|
FINISHED |
| Object | III |
—
|
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: III | Statement: [Henry III, Holy Roman Emperor, usedRegnalNumber, III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedRegnalNumber Context triple: [Henry III, Holy Roman Emperor, usedRegnalNumber, III]
-
A.
usedForRegnalYears
Indicates that something serves as the basis or reference system for counting and designating regnal years of a ruler.
-
B.
tookRegnalName
Indicates that a person adopted and used a specific official regnal name upon assuming a throne or sovereign rulership.
-
C.
usedAsRoyalNameOn
Indicates that something served as a royal name or title during a specified time or in a specified context.
-
D.
coronatedPersonRegnalName
Indicates the official regnal name that a person assumes upon being coronated.
-
E.
protagonistRegnalName
Indicates that a person’s role as a protagonist is associated with a specific regnal name or official ruling title they bear.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7cabdd2d88190be1c8de7e499cb83 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7ca91f1808190b2a05c4b691da0bb |
completed | May 3, 2026, 10:22 p.m. |
Created at: May 3, 2026, 4:12 p.m.