Triple
T3435513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romana |
E72441
|
entity |
| Predicate | regenerationCount |
P8002
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Romana, regenerationCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regenerationCount Context triple: [Romana, regenerationCount, 1]
-
A.
regenerationStartedIn
Indicates that a regeneration process was initiated or began within a specified location, context, or time frame.
-
B.
hasMultipleRegenerations
Indicates that an entity has undergone more than one process of regeneration or renewal.
-
C.
regenerationAbility
Indicates the capability of an entity to restore or regrow lost or damaged parts of itself.
-
D.
generationCount
chosen
Indicates the number of times a process, entity, or version has been created, iterated, or regenerated within a sequence or lifecycle.
-
E.
regenerationRetcon
Indicates a continuity-altering change where a character’s regeneration or renewal is retroactively modified, redefined, or overwritten in the narrative.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f2e4b4819085336fb539daf3c7 |
completed | March 8, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69adae00ad588190bef24373b58a2e1a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.