Triple
T20760916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unicron Trilogy Scorponok |
E510972
|
entity |
| Predicate | factionInEnergon |
P141406
|
FINISHED |
| Object | Terrorcon leader |
—
|
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: Terrorcon leader | Statement: [Unicron Trilogy Scorponok, factionInEnergon, Terrorcon leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: factionInEnergon Context triple: [Unicron Trilogy Scorponok, factionInEnergon, Terrorcon leader]
-
A.
factionSystem
Indicates a relationship where a faction is associated with, operates within, or controls a particular system (such as a region, domain, or organizational structure).
-
B.
factionType
Indicates the classification or category of a faction within a broader system or context.
-
C.
factionSymbol
Indicates the specific faction with which an entity is associated or aligned.
-
D.
factionAssociated
Indicates that an entity is connected to, aligned with, or belongs to a particular faction.
-
E.
factionName
Indicates the specific name assigned to a faction with which an entity is associated.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c248701081908ae49fca933e05f6 |
completed | April 21, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:35 p.m.