Triple
T9133282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heart-Shaped Herb |
E219141
|
entity |
| Predicate | effectOnNonWakandans |
P10927
|
FINISHED |
| Object | potentially fatal |
—
|
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: potentially fatal | Statement: [Heart-Shaped Herb, effectOnNonWakandans, potentially fatal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnNonWakandans Context triple: [Heart-Shaped Herb, effectOnNonWakandans, potentially fatal]
-
A.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
B.
effectOnUnitedStates
Indicates the impact, influence, or consequences that something has on the United States.
-
C.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
D.
affectedEthnicGroup
chosen
Indicates that a particular ethnic group is impacted or influenced by an event, condition, policy, or action.
-
E.
effectOnMembers
Indicates the impact or influence that something has on the members of a group or organization.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8dccecc81908d8fc641c419ca6a |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:18 p.m.