Triple
T34271814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Lyppiatt |
E879337
|
entity |
| Predicate | isCharacterInMedium |
P12208
|
FINISHED |
| Object | stage play |
—
|
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: stage play | Statement: [Henry Lyppiatt, isCharacterInMedium, stage play]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCharacterInMedium Context triple: [Henry Lyppiatt, isCharacterInMedium, stage play]
-
A.
hasMediumCharacter
Indicates that one entity possesses or is associated with a character whose size, intensity, or degree is classified as medium.
-
B.
isCharacterInSetting
Indicates that a particular character appears or exists within a specified setting or environment.
-
C.
occursInMedium
Indicates that an event, process, or interaction takes place within or is hosted by a particular medium or environment.
-
D.
isCharacterInWork
Indicates that a particular character appears in or is part of a specified creative work (such as a book, film, or game).
-
E.
characterIn
chosen
Indicates that an entity appears as a character within a specified work, story, or narrative.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.