Triple
T28283822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Duan |
E713224
|
entity |
| Predicate | associatedTitleHolderReignName |
P168622
|
FINISHED |
| Object | Huizong |
—
|
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: Huizong | Statement: [Prince of Duan, associatedTitleHolderReignName, Huizong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTitleHolderReignName Context triple: [Prince of Duan, associatedTitleHolderReignName, Huizong]
-
A.
correspondsToReignTitleHolder
chosen
Indicates that a given reign or period of rule is associated with, and held by, a specific title holder.
-
B.
associatedTitleOfSovereign
Indicates a formal title that is linked to or held by a particular sovereign.
-
C.
namedAfterReignTitle
Indicates that something is named after the official title held by a ruler during their reign.
-
D.
eraNameUsedDuringReign
Indicates that a particular era name was officially used throughout the duration of a ruler's reign.
-
E.
titleHeldWhileMonarchReigns
Indicates that one entity holds a specific title during the period in which another entity is reigning as monarch.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_6a011e5a419081908d06a07b395ebd97 |
completed | May 11, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_6a011de119048190b27d361cffabc228 |
completed | May 11, 2026, 12:08 a.m. |
Created at: April 27, 2026, 11:24 p.m.