Triple
T26645855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Sahifa al-Sajjadiyya |
E668905
|
entity |
| Predicate | authorOrdinal |
P160091
|
FINISHED |
| Object | Fourth Shia Imam |
—
|
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: Fourth Shia Imam | Statement: [Al-Sahifa al-Sajjadiyya, authorOrdinal, Fourth Shia Imam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOrdinal Context triple: [Al-Sahifa al-Sajjadiyya, authorOrdinal, Fourth Shia Imam]
-
A.
authorOrder
chosen
Indicates the sequence or ranking of authors associated with a work, specifying each author's position in the authorship list.
-
B.
authorRank
Indicates the relative standing or position of an author within a ranked ordering, such as by contribution, importance, or prominence.
-
C.
authorPublished
Indicates that an author has published a particular work (such as a book, article, or paper).
-
D.
authorAsCredited
Indicates the relationship between a work and the person or entity credited as its author, regardless of actual authorship.
-
E.
authorTitle
Indicates that a person is the creator or writer of a work that bears the specified title.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 2:31 a.m.