Triple
T37734342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinxin Ming |
E940238
|
entity |
| Predicate | alternativeTranslationOfTitle |
P43484
|
FINISHED |
| Object | Verses on the Faith Mind |
—
|
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: Verses on the Faith Mind | Statement: [Xinxin Ming, alternativeTranslationOfTitle, Verses on the Faith Mind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeTranslationOfTitle Context triple: [Xinxin Ming, alternativeTranslationOfTitle, Verses on the Faith Mind]
-
A.
translationTitle
Indicates that one entity is the title assigned to a translated version of another entity (such as a work, document, or text).
-
B.
equivalentTitleInLanguage
Indicates that two titles are equivalent in meaning or reference, but expressed in a specified language.
-
C.
alternateInterpretationOfTitle
Indicates that one title is an alternative interpretation or reading of another title, reflecting a different way the original title can be understood.
-
D.
alsoTranslatedAs
chosen
Indicates that something has an alternative translation or rendering in another language or form.
-
E.
languageOfAlternativeTitle
Indicates the language in which an alternative or variant title of an entity is expressed.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.