Triple
T36697655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrigen Mists |
E906133
|
entity |
| Predicate | effectOnMutants |
P58916
|
FINISHED |
| Object | toxic |
—
|
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: toxic | Statement: [Terrigen Mists, effectOnMutants, toxic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnMutants Context triple: [Terrigen Mists, effectOnMutants, toxic]
-
A.
effectOfGenophage
Indicates the consequences or impact that the genophage has on its target population or individuals.
-
B.
effectOnOthers
chosen
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
C.
geneticallyEnhanced
Indicates that an entity has been modified or augmented at the genetic level, typically to enhance or alter its natural traits or capabilities.
-
D.
effectivenessAgainst
Indicates how well one entity performs in countering, influencing, or mitigating the impact of another entity.
-
E.
effectOnRace
Indicates that one entity has an influence or impact on the outcome, dynamics, or characteristics of a race.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:12 p.m.