Triple
T2874624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Z. Hobson |
E56846
|
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: [Laura Z. Hobson, familyName, Hobson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hobson Context triple: [Laura Z. Hobson, familyName, Hobson]
-
A.
Hobson
chosen
Hobson is the surname of Mellody Hobson, a prominent American businesswoman and co-CEO of Ariel Investments.
-
B.
Hobuck
Hobuck is the original settlement name that preceded the modern city of Hoboken, New Jersey.
-
C.
Hob
Hob is a medieval English diminutive of the given name Robert, historically used as a familiar or nickname.
-
D.
Houbie
Houbie is the main village on the Shetland island of Fetlar in Scotland.
-
E.
Hassler
Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0032ddc8190bb4d15ec7e3c63e8 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01db780908190919d859205464b2e |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:03 p.m.