Triple
T9923891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowland Hussey Macy |
E187871
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Hussey |
E773770
|
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: Hussey | Statement: [Rowland Hussey Macy, hasMiddleName, Hussey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hussey Context triple: [Rowland Hussey Macy, hasMiddleName, Hussey]
-
A.
Hussey
chosen
Hussey is an English surname borne by various notable figures in fields such as religion, politics, and the arts.
-
B.
Hassie
Hassie is a given name, often used as a feminine first name in English-speaking countries.
-
C.
Harrie
Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
-
D.
Dudly
Dudly is an alternative spelling or variant form of the given name Dudley.
-
E.
Griffin
Griffin is a surname of English origin borne by numerous notable individuals across fields such as architecture, politics, sports, and entertainment.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59733188190900426e4e29ae5e3 |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e0bdae08190acb94fe7d5471e4b |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:43 p.m.