Triple
T18785689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naomi Mitchison |
E459368
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Naomi |
—
|
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: Naomi | Statement: [Naomi Mitchison, givenName, Naomi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi Context triple: [Naomi Mitchison, givenName, Naomi]
-
A.
Naomi
chosen
Naomi is a feminine given name of Hebrew origin meaning "pleasantness" or "delight."
-
B.
Naomi
Naomi is a professional wrestler and television personality best known for her work in WWE and appearances on the reality series Total Divas.
-
C.
Naomi
Naomi is a 1924 novel by Japanese author Junichiro Tanizaki that explores themes of obsession, Westernization, and modernity in Taishō-era Japan.
-
D.
Naoma
Naoma is an unincorporated community and coal-mining town located in Raleigh County, West Virginia, United States.
-
E.
Naomi Baka
Naomi Baka is known as the wife of screenwriter and author Joe Eszterhas.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5978154ac819096356d2a488b45f0 |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:52 a.m.