Triple
T38464432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komodo Joe |
E912527
|
entity |
| Predicate | nationalityInLocalization |
P197080
|
FINISHED |
| Object | Middle Eastern-inspired (stylized) |
—
|
LITERAL FINISHED |
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: Middle Eastern-inspired (stylized) | Statement: [Komodo Joe, nationalityInLocalization, Middle Eastern-inspired (stylized)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityInLocalization Context triple: [Komodo Joe, nationalityInLocalization, Middle Eastern-inspired (stylized)]
-
A.
nationalityInText
Indicates that a person's nationality is mentioned or specified within a given text.
-
B.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
C.
nationalityInHumanWorld
Indicates that one entity has the specified national affiliation or citizenship within the context of the human world.
-
D.
nationalityEquivalent
Indicates that two entities have equivalent or corresponding nationalities, treating them as the same for nationality-based reasoning.
-
E.
countryNameLocal
Indicates the name of a country as expressed in its own local or official language.
- F. None of above. chosen
Provenance (4 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69fe7663b5bc81909524c40d3a172512 |
completed | May 8, 2026, 11:48 p.m. |
Created at: May 3, 2026, 4:31 p.m.