Triple
T6737988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Informed Comment |
E154004
|
entity |
| Predicate | hasAuthorBackgroundIn |
P72668
|
FINISHED |
| Object | Middle East history |
—
|
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: Middle East history | Statement: [Informed Comment, hasAuthorBackgroundIn, Middle East history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorBackgroundIn Context triple: [Informed Comment, hasAuthorBackgroundIn, Middle East history]
-
A.
hasCoauthorBackground
Indicates that two or more coauthors share a specified background, such as educational, professional, cultural, or experiential context.
-
B.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
C.
hasBackground
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
D.
hasMemberBackground
Indicates that an entity has information describing the background or history of one of its members.
-
E.
hasPerformerBackground
Indicates that an entity has a specific background, experience, or history as a performer.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1850a288190aa7e647fefbb0ede |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d14e18d481908aaac34897c650f1 |
completed | March 27, 2026, 6:49 p.m. |
Created at: March 27, 2026, 2:10 p.m.