Triple
T16291915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angie Hubbard |
E395543
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hubbard |
E229721
|
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: Hubbard | Statement: [Angie Hubbard, familyName, Hubbard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hubbard Context triple: [Angie Hubbard, familyName, Hubbard]
-
A.
Hubbard
chosen
Hubbard is a surname of English origin borne by various notable individuals across fields such as science, business, and the arts.
-
B.
Vernor
Vernor is a male given name most notably borne by the American science fiction author Vernor Vinge.
-
C.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
D.
Huberbuam
Huberbuam is the renowned German climbing duo of brothers Thomas and Alexander Huber, famous for their groundbreaking big-wall and alpine ascents.
-
E.
Huber
Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24919345881909ba4e7fe2e59340f |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f97895081909f22ded3507afe14 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:05 a.m.