Triple
T31710846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacred Heart Hospital |
E809311
|
entity |
| Predicate | janitorCharacter |
P172452
|
FINISHED |
| Object | The Janitor |
—
|
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: The Janitor | Statement: [Sacred Heart Hospital, janitorCharacter, The Janitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: janitorCharacter Context triple: [Sacred Heart Hospital, janitorCharacter, The Janitor]
-
A.
bossCharacter
Indicates that one character serves as the primary, often more powerful, opponent or leader that others must confront or overcome.
-
B.
character1
Indicates that the subject is identified as the first or primary character in a narrative or context.
-
C.
minion
Indicates a relationship where one entity serves another in a subordinate, obedient, or subservient role, often carrying out tasks or orders on their behalf.
-
D.
roleInMonstersInc
Indicates the specific function, position, or part an entity has within the context of the movie “Monsters, Inc.”
-
E.
roleInKirbySuperStar
Indicates the specific function or part an entity plays within the context of the game *Kirby Super Star*.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 30, 2026, 11:15 p.m.