Triple
T30344382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Elric |
E771833
|
entity |
| Predicate | firstAnimeAppearance |
P16444
|
FINISHED |
| Object | Fullmetal Alchemist (2003), episode 1 |
E215042
|
NE 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: Fullmetal Alchemist (2003), episode 1 | Statement: [Edward Elric, firstAnimeAppearance, Fullmetal Alchemist (2003), episode 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAnimeAppearance Context triple: [Edward Elric, firstAnimeAppearance, Fullmetal Alchemist (2003), episode 1]
-
A.
firstAppearanceInAnimation
Indicates the specific animated work in which an entity is depicted for the first time.
-
B.
firstAppearanceTV
Indicates the television show or episode in which an entity is depicted or mentioned for the first time.
-
C.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
D.
firstAppearanceEpisode
chosen
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
-
E.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
- F. None of above.
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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a01d48f41f4819093a5b47288a073c1 |
completed | May 11, 2026, 1:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a277c2737348190b3dc8979f853cd3a |
completed | June 9, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_6a01d3fa278c8190838174dd96ef5dde |
completed | May 11, 2026, 1:04 p.m. |
Created at: April 29, 2026, 7:55 p.m.