Triple
T1201179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perry Mason |
E25784
|
entity |
| Predicate | firstAppearanceInMedium |
P17193
|
FINISHED |
| Object | novel |
—
|
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: novel | Statement: [Perry Mason, firstAppearanceInMedium, novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceInMedium Context triple: [Perry Mason, firstAppearanceInMedium, novel]
-
A.
firstAppearanceMedium
chosen
Indicates the medium (such as book, film, or game) in which an entity first appeared.
-
B.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
C.
firstAppearanceEpisode
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
-
D.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
E.
initialPublication
Indicates the relationship in which a work is first formally published or made publicly available.
- F. None of above.
Provenance (3 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9fece4819089a6a2d61e61fa2e |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.