Triple
T31050927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Return of October |
E791260
|
entity |
| Predicate | hasReincarnationTheme |
P202877
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Return of October, hasReincarnationTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReincarnationTheme Context triple: [The Return of October, hasReincarnationTheme, true]
-
A.
soulReincarnatedAs
Indicates that a soul, after death or departure from a previous existence, is reborn into a new body or form.
-
B.
hasMultipleIncarnations
Indicates that an entity exists or appears in more than one distinct form, version, or embodiment over time or context.
-
C.
reincarnatedParent
Indicates that one entity is the parent of another through reincarnation, i.e., the parent is a reborn form connected across different lifetimes.
-
D.
hasRevivalsIn
Indicates that something has been brought back, renewed, or reintroduced in specific times, places, or contexts.
-
E.
hasDoppelgangerTheme
Indicates that something features or involves a doppelganger-related theme, such as doubles, look-alikes, or mirrored identities.
- 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00ca5e907481909d391afd55938a1b |
completed | May 10, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_6a00ca2214348190a674a85ede709e2e |
completed | May 10, 2026, 6:10 p.m. |
| PDg | Predicate description generation | batch_6a00ca5de6748190bc67a1fd9f3d0b3a |
completed | May 10, 2026, 6:11 p.m. |
Created at: April 29, 2026, 9 p.m.