Triple
T23515277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Charmont |
E574342
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Char |
—
|
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: Char | Statement: [Prince Charmont, alsoKnownAs, Char]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Char Context triple: [Prince Charmont, alsoKnownAs, Char]
-
A.
Char
chosen
Char is a common English diminutive or nickname typically derived from given names such as Charlene, Charlotte, or Charlize.
-
B.
Character
Character is a 2005 melodic death metal album by Swedish band Dark Tranquillity, noted for its aggressive sound, atmospheric keyboards, and introspective lyrics.
-
C.
Cha
Cha is the Korean family name of Theresa Hak Kyung Cha, the avant-garde artist and writer best known for her experimental book "Dictee."
-
D.
Chararic
Chararic was an early medieval king of the Suebi in Galicia, known primarily from sparse historical references to his rule during the post-Roman period in the Iberian Peninsula.
-
E.
Chan
Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80d9048190ab735dddd301feb4 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.