Triple
T19876061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maury Chaykin |
E477639
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Maury |
E231291
|
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: Maury | Statement: [Maury Chaykin, givenName, Maury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maury Context triple: [Maury Chaykin, givenName, Maury]
-
A.
Maury
chosen
Maury is a masculine given name, typically used as a familiar or informal form of the name Maurice.
-
B.
Wilkes
Wilkes is a surname of English origin borne by various notable individuals across politics, the arts, and public life.
-
C.
Maury AOC
Maury AOC is a French appellation in the Roussillon area of southern Occitanie known for its fortified sweet wines made primarily from Grenache.
-
D.
Anson
Anson is a commercial office building located in the Downtown Core of Singapore’s central business district.
-
E.
Anson
Anson is a masculine given name of English origin, historically borne by figures such as Anson Jones, the last president of the Republic of Texas.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658db058c8190b7bf0b003ead5bfc |
completed | April 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbc653b481908e2884c1d2aa6ead |
completed | May 16, 2026, 2:51 a.m. |
Created at: April 10, 2026, 1:52 p.m.