Triple
T25420603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biston |
E636970
|
entity |
| Predicate | peopleNamedAfter |
P158283
|
FINISHED |
| Object | Bistones |
—
|
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: Bistones | Statement: [Biston, peopleNamedAfter, Bistones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peopleNamedAfter Context triple: [Biston, peopleNamedAfter, Bistones]
-
A.
hasAwardNamedAfter
Indicates that an entity has an award that is named in honor of another entity.
-
B.
hasNamedAfterPerson
Indicates that one entity is named in honor of, or derived from the name of, a specific person.
-
C.
isNamedForPersonFrom
Indicates that an entity is named after a person who originates from a specified place or region.
-
D.
foundationsNamedAfter
Indicates that a foundation bears the name of a particular person, organization, place, or concept in whose honor or reference it is established.
-
E.
fieldOfNamedAfter
Indicates that a field of study or professional discipline is named in honor of a particular person or entity.
- F. None of above. chosen
Provenance (4 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bbb1048190bf951255445aeecc |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 1:56 p.m.