Triple
T34075224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawnn |
E873888
|
entity |
| Predicate | sharesNameCategoryWith |
P145897
|
FINISHED |
| Object | Dawn |
—
|
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: Dawn | Statement: [Dawnn, sharesNameCategoryWith, Dawn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesNameCategoryWith Context triple: [Dawnn, sharesNameCategoryWith, Dawn]
-
A.
sharesNameWith
Indicates that two entities have the same name or an identical naming designation.
-
B.
sharesNameTypeWith
chosen
Indicates that two entities have the same type or category of name (e.g., both are first names, both are surnames, or both are of the same naming convention).
-
C.
sharesNameRootWith
Indicates that two entities have names derived from the same linguistic root or base form.
-
D.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
E.
sharesNameWithMultiplePeople
Indicates that an entity has the same name as more than one distinct other entity.
- F. None of above.
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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
Created at: May 1, 2026, 1:52 a.m.