Triple
T25729244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Conqueror |
E645192
|
entity |
| Predicate | alternateCharacterName |
P41555
|
FINISHED |
| Object | Temujin is Genghis Khan |
—
|
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: Temujin is Genghis Khan | Statement: [The Conqueror, alternateCharacterName, Temujin is Genghis Khan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternateCharacterName Context triple: [The Conqueror, alternateCharacterName, Temujin is Genghis Khan]
-
A.
characterNameChange
Indicates that an entity’s character has undergone a change from one name to another.
-
B.
characterAlias
chosen
Indicates that one character is known or referred to by an alternative name or alias.
-
C.
characterName
Indicates that an entity has a specific name used to identify its character.
-
D.
characterSetName
Indicates the name assigned to a particular character set used for encoding or representing characters.
-
E.
hasCharacterNamedAfter
Indicates that one entity has a character whose name is derived from or intentionally based on 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f603bb02288190b40cedbed5b9651d |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 21, 2026, 11:10 p.m.