Triple
T26373438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Synapsida |
E660829
|
entity |
| Predicate | firstAppearanceInMa |
P196314
|
FINISHED |
| Object | about 320 |
—
|
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: about 320 | Statement: [Synapsida, firstAppearanceInMa, about 320]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceInMa Context triple: [Synapsida, firstAppearanceInMa, about 320]
-
A.
firstAppearanceMa
Indicates that an entity (such as a character or item) makes its first appearance in a specific manga.
-
B.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
C.
firstAppearanceAct
Indicates the act in which an entity makes its first appearance within a work or performance.
-
D.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
-
E.
firstAppearanceApprox
Indicates that one entity is the approximate or estimated first appearance of another entity in time or context.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
| PDg | Predicate description generation | batch_69fe21afdc4c8190913ac4b55a9a5f52 |
completed | May 8, 2026, 5:47 p.m. |
Created at: April 26, 2026, 10:59 p.m.