Triple
T14325395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apocalypse Tapestry |
E355201
|
entity |
| Predicate | numberOfScenes |
P113985
|
FINISHED |
| Object | over 80 |
—
|
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: over 80 | Statement: [Apocalypse Tapestry, numberOfScenes, over 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfScenes Context triple: [Apocalypse Tapestry, numberOfScenes, over 80]
-
A.
numberOfReliefScenes
Indicates the quantity of distinct relief scenes associated with or depicted on a given entity.
-
B.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
C.
numberOfStills
Indicates the quantity of still images associated with or contained in a given entity or context.
-
D.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
E.
numberOfActs
Indicates the total count of discrete acts or actions associated with a given entity or event.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883e6a288190b6c22f630a1eef3c |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e9ded24819099200349cf80e068 |
completed | April 14, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:13 a.m.