Triple
T869782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iliad |
E18783
|
entity |
| Predicate | traditionalBooks |
P20397
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Iliad, traditionalBooks, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalBooks Context triple: [Iliad, traditionalBooks, 24]
-
A.
book
Indicates that an agent reserves or schedules a service, event, or resource for future use.
-
B.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
C.
traditionalAuthor
Indicates that an entity is regarded as the conventional or historically accepted author of a work, even if actual authorship may be uncertain or disputed.
-
D.
containsBook
Indicates that one entity (typically a container or collection) includes a specific book as part of its contents.
-
E.
traditionalAuthorship
Indicates that an entity is recognized as the conventional or historically accepted author of a work, according to traditional attribution.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac811e548190a72b7a10b5ea8665 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa89ca008190b50d061ac7fe19f9 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab498bb0819080e3afb684b504b6 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.