Triple
T9053873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Antonius |
E216948
|
entity |
| Predicate | workCharacterizedAs |
P44666
|
FINISHED |
| Object | foundational text of modern Arab nationalism |
—
|
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: foundational text of modern Arab nationalism | Statement: [George Antonius, workCharacterizedAs, foundational text of modern Arab nationalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workCharacterizedAs Context triple: [George Antonius, workCharacterizedAs, foundational text of modern Arab nationalism]
-
A.
workCharacter
Indicates that a person is a fictional or narrative character appearing in a particular creative work.
-
B.
workCharacterType
Indicates that a work involves or features a character of a specified type or role.
-
C.
workBasedOnThisCharacter
Indicates that a creative work is based on, inspired by, or derived from the referenced character.
-
D.
workDescribedAs
chosen
Indicates that one entity’s work, project, or output is characterized, labeled, or referred to by a particular description, title, or phrase.
-
E.
workDescribedIn
Indicates that a work (such as a publication or document) provides a description or account of the referenced entity.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a72e2dc8190a16deff8abe701b1 |
completed | April 1, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.