Triple
T21206963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Barnard |
E522611
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Barnard |
—
|
NE NERFINISHED |
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: Barnard | Statement: [Elizabeth Barnard, familyName, Barnard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnard Context triple: [Elizabeth Barnard, familyName, Barnard]
-
A.
Barnard
chosen
Barnard is a surname and given name of English and French origin, borne by various notable individuals and institutions.
-
B.
Kapteyn
Kapteyn is a Dutch surname most notably associated with astronomer Jacobus Cornelius Kapteyn, after whom several astronomical objects and concepts are named.
-
C.
Baade
Baade is a prominent lunar impact crater located near the Moon’s southwestern limb, named after the German astronomer Walter Baade.
-
D.
Schisgal
Schisgal is the surname of Murray Schisgal, an American playwright and screenwriter best known for co-writing the film "Tootsie."
-
E.
Vesto
Vesto is a masculine given name most notably borne by American astronomer Vesto Melvin Slipher, a pioneer in the study of galactic redshifts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73435322c8190bf4156fbd14edc5c |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:24 p.m.