Triple
T30674684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifty-State Initiative |
E780879
|
entity |
| Predicate | narrativeConsequenceOf |
P40708
|
FINISHED |
| Object | Marvel Comics Civil War storyline |
—
|
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: Marvel Comics Civil War storyline | Statement: [Fifty-State Initiative, narrativeConsequenceOf, Marvel Comics Civil War storyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeConsequenceOf Context triple: [Fifty-State Initiative, narrativeConsequenceOf, Marvel Comics Civil War storyline]
-
A.
narrativeConsequence
chosen
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
B.
backstoryConsequence
Indicates that one event or situation occurs as a direct result or outcome of a character’s or entity’s prior history or background.
-
C.
narrativePremise
Indicates the foundational situation, conflict, or setup that initiates and drives the narrative’s events.
-
D.
narrativeSequence
Indicates that one event or narrative element follows another in a temporal or logical storytelling order.
-
E.
narrativePassage
Indicates that a segment of text functions as a narrative passage, conveying events, actions, or storytelling rather than exposition, dialogue, or other discourse types.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 29, 2026, 8:32 p.m.