Triple
T4099478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Diego Vega |
E87903
|
entity |
| Predicate | signatureSymbol |
P51216
|
FINISHED |
| Object | the letter Z |
—
|
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: the letter Z | Statement: [Don Diego Vega, signatureSymbol, the letter Z]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signatureSymbol Context triple: [Don Diego Vega, signatureSymbol, the letter Z]
-
A.
signature
Indicates that one entity has provided an official or personal signed endorsement, authorization, or acknowledgment on or for another entity.
-
B.
signatureStyle
Indicates the characteristic way in which an entity typically signs its name or marks documents, distinguishing its unique signing pattern or format.
-
C.
signatureRole
Indicates the specific function or capacity in which an entity participates in a signing or signature-related action.
-
D.
signatureWork
Indicates that the work is a defining or most representative creation associated with an entity (such as a person, group, or organization).
-
E.
signatureFeature
chosen
Indicates that one entity is a defining or characteristic feature that distinctly identifies or typifies another 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0d9c508190b8aedf83f3310513 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.