Triple
T9746545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Ora Card |
E236323
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Ora |
E739657
|
NE 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: Ora | Statement: [Charles Ora Card, middleName, Ora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ora Context triple: [Charles Ora Card, middleName, Ora]
-
A.
Ora
chosen
Ora is the surname of British singer, songwriter, and actress Rita Ora, known for her pop hits and work in film and television.
-
B.
Oros
Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
-
C.
Orini
Orini is a mystical figure in Marvel Comics, known as the father of Clea and a prominent member of the Faltine-related royalty of the Dark Dimension.
-
D.
Oroko
The Oroko are an indigenous Bantu-speaking ethnic group of southwestern Cameroon, known for their rich cultural traditions, agriculture, and coastal rainforest homeland.
-
E.
Oro
Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f65ad788190b68d731b6f516d93 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b004a6e88190a974f4a8973f91ef |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:23 p.m.