Triple
T37619082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Mitsopolis |
E936012
|
entity |
| Predicate | genreOfWorkUniverse |
P164301
|
FINISHED |
| Object | sitcom |
—
|
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: sitcom | Statement: [Max Mitsopolis, genreOfWorkUniverse, sitcom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfWorkUniverse Context triple: [Max Mitsopolis, genreOfWorkUniverse, sitcom]
-
A.
fictionalUniverse
Indicates that two entities exist within, or are associated with, the same fictional universe or narrative setting.
-
B.
inUniverseGenre
chosen
Indicates that a work’s genre classification exists within the fictional universe itself (e.g., as an in-story show, book, or media type), rather than being an external, real-world genre label.
-
C.
hasFictionalUniverseGenre
Indicates that a fictional universe is associated with a particular genre that characterizes its overall style, themes, or narrative type.
-
D.
fictionalUniverseAuthor
Indicates that an author is the creator or primary writer responsible for a given fictional universe.
-
E.
fictionalUniverseRelation
Indicates a relationship between entities based on their connection to the same or related fictional universes, such as shared settings, continuities, or crossover worlds.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.