Triple
T16640830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Questions |
E404330
|
entity |
| Predicate | readingOrder |
P123686
|
FINISHED |
| Object | intended to be read after the main narrative |
—
|
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: intended to be read after the main narrative | Statement: [The Questions, readingOrder, intended to be read after the main narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingOrder Context triple: [The Questions, readingOrder, intended to be read after the main narrative]
-
A.
readingOrganizer
Indicates that an entity is responsible for planning, managing, or coordinating reading-related activities or materials for others.
-
B.
readingSystem
Indicates a system or device that presents, interprets, or processes written or digital content for a user.
-
C.
readingFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to reading.
-
D.
reading
Indicates that an entity is engaged in the activity of interpreting and understanding written or printed material from another entity or source.
-
E.
readingAid
Indicates that one entity assists or facilitates another entity’s ability to read or engage in reading activities.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad0e5408190aef8b5577be73057 |
completed | April 18, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69e296af2f88819092c9ffee4a65d7dd |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:18 a.m.