Triple
T5751260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimics |
E126856
|
entity |
| Predicate | firstContactContext |
P66528
|
FINISHED |
| Object | invasion of Earth |
—
|
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: invasion of Earth | Statement: [Mimics, firstContactContext, invasion of Earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstContactContext Context triple: [Mimics, firstContactContext, invasion of Earth]
-
A.
firstDescriptionContext
Indicates the primary or initial situational context in which a description of something is given.
-
B.
firstEncounteredBy
Indicates that one entity is the person or agent who initially discovered, met, or came across the other entity for the first time.
-
C.
firstMeets
Indicates that one entity encounters or comes into contact with another entity for the first time.
-
D.
firstContactWithEuropeans
Indicates that this marks the initial recorded encounter or interaction between a group and European people.
-
E.
initialReception
Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02b4ea03c81908c3d799462de20c4 |
completed | March 22, 2026, 5:47 p.m. |
Created at: March 22, 2026, 3:48 p.m.