Triple
T32132474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson Pierce |
E820686
|
entity |
| Predicate | formerUniverse |
P199953
|
FINISHED |
| Object | Earth-Black Lightning |
—
|
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: Earth-Black Lightning | Statement: [Jefferson Pierce, formerUniverse, Earth-Black Lightning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerUniverse Context triple: [Jefferson Pierce, formerUniverse, Earth-Black Lightning]
-
A.
universe
Indicates that something pertains to, exists within, or is associated with the entirety of space, time, matter, and phenomena collectively referred to as the universe.
-
B.
inUniverse
Indicates that one entity exists, occurs, or is set within the fictional or conceptual universe defined by another entity.
-
C.
alternateUniverseVersionOf
Indicates that one entity is a counterpart or variant of another entity existing in a different universe or reality.
-
D.
namedAfterInUniverse
Indicates that one entity is, within the fictional or narrative universe, explicitly stated or implied to be named after another entity.
-
E.
typicalUniverse
Indicates that something represents or belongs to a standard, representative, or commonly occurring universe within a given context or model.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff65987ff88190b09be64f7c0e1da9 |
completed | May 9, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69ff6525b0548190bef7a9f009e00bb8 |
completed | May 9, 2026, 4:47 p.m. |
| PDg | Predicate description generation | batch_69ff659717708190bb56714d1b261063 |
completed | May 9, 2026, 4:49 p.m. |
Created at: May 1, 2026, 12:29 a.m.