Triple
T36080620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Head of Ravenclaw House |
E1043635
|
entity |
| Predicate | holderEra |
P145406
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [Head of Ravenclaw House, holderEra, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderEra Context triple: [Head of Ravenclaw House, holderEra, late 20th century]
-
A.
ownerDuringEra
Indicates that one entity is the owner of another entity specifically during a defined historical period or era.
-
B.
subjectHasEra
chosen
Indicates that a subject is associated with, defined by, or belongs to a particular historical or temporal era.
-
C.
honoureeEra
Indicates the historical period or era during which the honouree is primarily recognized or associated.
-
D.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
E.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:08 p.m.