Triple
T21950414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jule Gregory Charney |
E542051
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Charney |
E542051
|
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: Charney | Statement: [Jule Gregory Charney, familyName, Charney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charney Context triple: [Jule Gregory Charney, familyName, Charney]
-
A.
Charney
chosen
Charney is a surname most notably associated with Jule Gregory Charney, a pioneering American meteorologist who helped lay the foundations of modern numerical weather prediction.
-
B.
Chaykin
Chaykin is a surname most notably associated with Canadian-American character actor Maury Chaykin.
-
C.
Charna
Charna is a character from Margaret Atwood's novel "Cat's Eye," appearing in the childhood sections as one of Elaine Risley's early friends.
-
D.
Chayele
Chayele is a Yiddish diminutive form of the Hebrew name Chaya, often used as an affectionate nickname in Jewish communities.
-
E.
Chorin
Chorin is a small village in northeastern Germany known for its medieval Cistercian monastery and scenic natural surroundings.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243bb9c88190a3774b9fa2af9871 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a670241e48190ab2e085b11bf5161 |
completed | May 18, 2026, 1:10 a.m. |
Created at: April 16, 2026, 7:58 p.m.