Triple
T31965463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flandry series |
E816161
|
entity |
| Predicate | containsRecurringAntagonistFaction |
P17627
|
FINISHED |
| Object | Merseians |
—
|
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: Merseians | Statement: [Flandry series, containsRecurringAntagonistFaction, Merseians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsRecurringAntagonistFaction Context triple: [Flandry series, containsRecurringAntagonistFaction, Merseians]
-
A.
recurringEnemyOf
Indicates that one entity repeatedly serves as an adversary or opponent to another over multiple encounters or events.
-
B.
hasAntagonistGroup
chosen
Indicates that an entity is opposed or challenged by a specific group acting as its antagonist.
-
C.
hasAntagonisticProtagonist
Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
-
D.
hasRecurringProtagonists
Indicates that the same main character or set of main characters appears repeatedly across multiple works or installments in a series.
-
E.
partOfCycleOfVillains
Indicates that an entity belongs to a recurring group or sequence of villains that appear as part of the same overarching cycle or storyline.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffab5adf2c819084700c5ea34615bf |
completed | May 9, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69ffaabffa208190b5214ca17cc8a5ea |
completed | May 9, 2026, 9:44 p.m. |
Created at: May 1, 2026, 12:09 a.m.