Triple
T23349418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackgate Penitentiary |
E591963
|
entity |
| Predicate | hasInmate |
P6022
|
FINISHED |
| Object | Calendar Man |
—
|
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: Calendar Man | Statement: [Blackgate Penitentiary, hasInmate, Calendar Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calendar Man Context triple: [Blackgate Penitentiary, hasInmate, Calendar Man]
-
A.
Calendar Man
chosen
Calendar Man is a DC Comics supervillain and recurring Batman adversary known for committing crimes themed around holidays and calendar dates.
-
B.
Calendar
Calendar is a 2003 Canadian drama film directed by Atom Egoyan, known for its introspective narrative and collaboration with cinematographer Paul Sarossy.
-
C.
Calendar
Calendar is Apple's built-in calendar and scheduling application for macOS and iOS that lets users manage events, reminders, and time-based tasks.
-
D.
Calendarium
Calendarium is an influential 15th-century astronomical and calendrical work by the German mathematician and astronomer Regiomontanus, used for improving the accuracy of calendars and predicting celestial events.
-
E.
Micro Planner
Micro Planner is an early AI-oriented programming language developed at MIT for symbolic processing and problem-solving tasks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f199cb2a3c8190a5c0c8d8735256c7 |
completed | April 29, 2026, 5:40 a.m. |
Created at: April 17, 2026, 5:19 p.m.