Triple
T17912857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Lantern: Rebirth |
E447854
|
entity |
| Predicate | explainsRetconOf |
P59295
|
FINISHED |
| Object | Parallax as an embodiment of fear |
—
|
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: Parallax as an embodiment of fear | Statement: [Green Lantern: Rebirth, explainsRetconOf, Parallax as an embodiment of fear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explainsRetconOf Context triple: [Green Lantern: Rebirth, explainsRetconOf, Parallax as an embodiment of fear]
-
A.
regenerationRetcon
Indicates a continuity-altering change where a character’s regeneration or renewal is retroactively modified, redefined, or overwritten in the narrative.
-
B.
laterExplained
chosen
Indicates that an earlier event, statement, or situation is clarified or made understandable by information provided at a subsequent time.
-
C.
reconstructs
Indicates performing an action to rebuild, restore, or reassemble something from its parts, damage, or prior state.
-
D.
expandsBackstoryOf
Indicates that one entity provides additional background details or context that elaborate on the history or origins of another entity.
-
E.
recount
Indicates that an entity narrates or describes past events or experiences, often in a detailed or sequential manner, to 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30288ac8190bc633e69447709bf |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.