Triple
T11044589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Lucy Harriet Hobson |
E261104
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hobson |
E201142
|
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: Hobson | Statement: [Eliza Lucy Harriet Hobson, familyName, Hobson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hobson Context triple: [Eliza Lucy Harriet Hobson, familyName, Hobson]
-
A.
Hobson
chosen
Hobson is the surname of Mellody Hobson, a prominent American businesswoman and co-CEO of Ariel Investments.
-
B.
Hobkin
Hobkin is a relatively uncommon surname that appears to be a variant or related form of the English surname Hopkin.
-
C.
Hampson
Hampson is a surname most notably associated with American baritone opera singer Thomas Hampson.
-
D.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
E.
Hobuck
Hobuck is the original settlement name that preceded the modern city of Hoboken, New Jersey.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7982e08548190aec04099cef9453c |
completed | April 9, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9f180688190ab2d1142b30a2836 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.