Triple
T33116522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chekhov |
E847471
|
entity |
| Predicate | namedForPersonField |
P185237
|
FINISHED |
| Object | literature |
—
|
LITERAL 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: literature | Statement: [Chekhov, namedForPersonField, literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForPersonField Context triple: [Chekhov, namedForPersonField, literature]
-
A.
namedPersonField
Indicates that a particular data field is designated to contain a person’s name.
-
B.
namedForPersonFullName
Indicates that an entity is named after a specific person, identified by that person’s full name.
-
C.
namedForField
Indicates that one entity is named after, or in honor of, a particular field, discipline, or area of study.
-
D.
namesField
Indicates that one entity serves as the name or label assigned to a particular field of another entity.
-
E.
namedForPersonAffiliation
Indicates that something is named after a person specifically because of that person's affiliation with a particular group, organization, place, or role.
- 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: May 1, 2026, 1:27 a.m.