Triple
T36978279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilot Metropolitan |
E914754
|
entity |
| Predicate | seriesNameInJapan |
P194587
|
FINISHED |
| Object | Pilot Cocoon |
—
|
NE NERFINISHED |
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: Pilot Cocoon | Statement: [Pilot Metropolitan, seriesNameInJapan, Pilot Cocoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNameInJapan Context triple: [Pilot Metropolitan, seriesNameInJapan, Pilot Cocoon]
-
A.
titleInJapan
Indicates that an entity has a specific title or name when released or used in Japan.
-
B.
eraNameInJapanese
Indicates the Japanese-language name used for a specific historical or calendar era.
-
C.
eraNumberInJapan
Indicates the specific numbered position of a historical era within the sequence of Japanese eras.
-
D.
originInHeiseiSeries
Indicates that an entity originates from, or first appeared in, the Heisei-era installment(s) of a series.
-
E.
titleInJapanese
Indicates that one entity is the title of another entity expressed specifically in the Japanese language.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fd7b042a548190b3abe31bc3258278 |
completed | May 8, 2026, 5:56 a.m. |
Created at: May 3, 2026, 4:14 p.m.