Triple
T17884598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WildC.A.T.s |
E447168
|
entity |
| Predicate | notableCrossover |
P8554
|
FINISHED |
| Object | Gen¹³ |
—
|
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: Gen¹³ | Statement: [WildC.A.T.s, notableCrossover, Gen¹³]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gen¹³ Context triple: [WildC.A.T.s, notableCrossover, Gen¹³]
-
A.
Gen¹³
chosen
Gen¹³ is a popular 1990s WildStorm comic book series about a group of superpowered teenagers recruited into a covert government program.
-
B.
GV
GV is a common shorthand nickname for Grand Valley State University, a public university in Allendale, Michigan.
-
C.
GV
GV is the venture capital investment arm of Alphabet Inc., focused on funding and supporting innovative technology startups.
-
D.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
-
E.
Genn
Genn is a surname most notably associated with British actor and barrister Leo Genn.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c11530881908ad98fbd0a52b1c3 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.