Triple
T17606874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crimson Pirate |
E428854
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Ojo |
—
|
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: Ojo | Statement: [The Crimson Pirate, featuresCharacter, Ojo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ojo Context triple: [The Crimson Pirate, featuresCharacter, Ojo]
-
A.
Ojo
chosen
Ojo is a central character in L. Frank Baum’s Oz series, notably a Munchkin boy whose quest drives the plot of "The Patchwork Girl of Oz."
-
B.
Ojo
Ojo is a suburban local government area in Lagos State, Nigeria, known for its rapidly growing residential communities and the presence of institutions like Lagos State University.
-
C.
Owode
Owode is a significant town within the Ado-Odo/Ota local government area of Ogun State in southwestern Nigeria.
-
D.
Ilesa
Ilesa is a historic Yoruba town in southwestern Nigeria, renowned as the cultural and political center of the Ijesha people.
-
E.
Oyo Town
Oyo Town is a historic Yoruba city in southwestern Nigeria that once served as the political and cultural center of the Oyo Empire.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4ccef08190aeaa88670364bd74 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.