Triple
T35008789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gizmo |
E1009890
|
entity |
| Predicate | primaryOppositionGroup |
P206798
|
FINISHED |
| Object | Teen Titans |
E452116
|
NE 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: Teen Titans | Statement: [Gizmo, primaryOppositionGroup, Teen Titans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryOppositionGroup Context triple: [Gizmo, primaryOppositionGroup, Teen Titans]
-
A.
primaryOpposition
Indicates the main or most significant opposing relationship between two entities, such as their chief rival, counterforce, or contrasting position.
-
B.
primaryPoliticalOppositionFrom
Indicates that one entity serves as the main or leading political opponent or source of political opposition to another entity.
-
C.
oppositionCategory
Indicates a relationship where one entity is classified as being in opposition to another, typically grouping it into a specific opposing or adversarial category.
-
D.
opposingPoliticalFaction
Indicates that two entities belong to political groups or factions that are in conflict or opposition to each other.
-
E.
primaryOppositionArc
Indicates the main adversarial or conflicting relationship that drives the central tension or struggle between two entities.
- F. None of above. chosen
Provenance (5 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38401553dc8190ba093f62b8bbff26 |
completed | June 21, 2026, 7:48 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:01 p.m.