Triple
T35788726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hidden Words |
E1034630
|
entity |
| Predicate | originalTitleInPersian |
P13516
|
FINISHED |
| Object | Kalimat-i-Maknunih |
E782818
|
NE 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: Kalimat-i-Maknunih | Statement: [The Hidden Words, originalTitleInPersian, Kalimat-i-Maknunih]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTitleInPersian Context triple: [The Hidden Words, originalTitleInPersian, Kalimat-i-Maknunih]
-
A.
titleInPersian
Indicates that an entity’s title is expressed in the Persian language.
-
B.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
-
C.
originalTitleUsedIn
Indicates that an entity’s original title is used in or associated with a particular work, edition, or context.
-
D.
originalLanguageTitle
chosen
Indicates the title of a work as it appears in its original language of creation or publication.
-
E.
originalTitleType
Indicates the specific role or category of an original title in relation to a work (for example, whether it is the main, working, or alternative original title).
- F. None of above.
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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a389c0fc75081908e7da549f4147825 |
completed | June 22, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.