Triple
T21452567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelius Ennis |
E529250
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cornelius |
—
|
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: Cornelius | Statement: [Cornelius Ennis, givenName, Cornelius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cornelius Context triple: [Cornelius Ennis, givenName, Cornelius]
-
A.
Cornelius
Cornelius is an intelligent, chimpanzee archaeologist and scientist from the Planet of the Apes film series, known for his moral integrity and partnership with Zira.
-
B.
Cornelius
Cornelius is the given first name of Connie Mack, the legendary early 20th-century Major League Baseball manager and team owner.
-
C.
Cornelius
Cornelius is the ancient Roman gens (clan) to which the dictator Lucius Cornelius Sulla belonged.
-
D.
Cornelius
chosen
Cornelius is a masculine given name of Latin origin, historically associated with Roman families and later adopted in various European and English-speaking cultures.
-
E.
Cornelius
Cornelius is a weak, embittered and treacherous Dutch trader who serves as one of the antagonistic figures in Joseph Conrad’s novel "Lord Jim."
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d426d88190ae87ae9fac9c30a0 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:07 p.m.