Triple
T27287847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María Dolores |
E688529
|
entity |
| Predicate | meaningOfComponentMaría |
P16024
|
FINISHED |
| Object | Mary |
—
|
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: Mary | Statement: [María Dolores, meaningOfComponentMaría, Mary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfComponentMaría Context triple: [María Dolores, meaningOfComponentMaría, Mary]
-
A.
meaningComponent_mar
Indicates that something is a semantic or conceptual component contributing to the overall meaning of another item, such as a word, phrase, or expression.
-
B.
meaningComponent
chosen
Indicates that one entity represents a semantic or conceptual component contributing to the overall meaning of another entity.
-
C.
meaningComponent郎
Indicates that one entity is a semantic component or constituent part of the overall meaning of another entity.
-
D.
relationshipToMariane
Indicates the specific type of relationship or connection that an entity has to Mariane.
-
E.
marthaColor
Indicates that an entity has Martha’s characteristic color or is colored in the specific way associated with Martha.
- 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_69ef355998e08190bdff849e8f33adce |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 11:13 a.m.