Triple
T16095075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allen G. Thurman |
E390460
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Granberry |
E1154949
|
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: Granberry | Statement: [Allen G. Thurman, middleName, Granberry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granberry Context triple: [Allen G. Thurman, middleName, Granberry]
-
A.
Granberry
chosen
Granberry is a given name that can function as a surname-style first name, typically of English origin.
-
B.
Grancy
Grancy is a metro station in Lausanne, Switzerland, located on the city’s M2 line.
-
C.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
-
D.
Maberly
Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
-
E.
Drieborg
Drieborg is a small village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1859283008190baac96142b5c7e53 |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb991ba88190ad568a49069f9701 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:59 a.m.