Triple
T13885929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaubis Avtar |
E333842
|
entity |
| Predicate | numberOfAvatarsDescribed |
P112247
|
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: [Chaubis Avtar, numberOfAvatarsDescribed, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAvatarsDescribed Context triple: [Chaubis Avtar, numberOfAvatarsDescribed, 24]
-
A.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
B.
numberOfCharacters
Indicates the total count of individual characters present in a given text, string, or entity’s representation.
-
C.
numberOfFiguresDepicted
Indicates the total count of distinct figures shown within a given depiction or representation.
-
D.
numberOfMoai
Indicates the quantity or count of Moai associated with a given subject.
-
E.
numberOfVisions
Indicates the quantity of visions experienced or associated with an entity.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:15 p.m.