Triple
T23737710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luigi Federico Menabrea |
E586580
|
entity |
| Predicate | hasWorkTranslatedBy |
P153486
|
FINISHED |
| Object | Ada Lovelace |
—
|
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: Ada Lovelace | Statement: [Luigi Federico Menabrea, hasWorkTranslatedBy, Ada Lovelace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkTranslatedBy Context triple: [Luigi Federico Menabrea, hasWorkTranslatedBy, Ada Lovelace]
-
A.
hasWorkTranslated
Indicates that a work has been rendered into another language or form by a translator.
-
B.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
-
C.
workTranslatedFrom
Indicates that a work is a translation derived from an original work in another language.
-
D.
hasTranslated
Indicates that one entity has rendered the content of another entity from one language into a different language.
-
E.
hasTranslatedFrom
Indicates that a work or text has been translated from a specified original language or source language.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad356c88190ae29ce403145ee73 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:11 p.m.