Triple
T17149445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley Quinn Crazy Train |
E416179
|
entity |
| Predicate | previousTheme |
P81692
|
FINISHED |
| Object | pirate theme |
—
|
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: pirate theme | Statement: [Harley Quinn Crazy Train, previousTheme, pirate theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTheme Context triple: [Harley Quinn Crazy Train, previousTheme, pirate theme]
-
A.
previousMode
Indicates that one mode directly precedes another in a sequence or state transition.
-
B.
successorTheme
chosen
Indicates that one theme follows, replaces, or continues another theme in a sequence or progression.
-
C.
previousTitle
Indicates that one title held or used by an entity directly preceded another title in sequence or time.
-
D.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
E.
previousHome
Indicates that one entity served as a former or prior residence or home of another entity.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f4059d90819092d3609326fa3130 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.