Triple
T8885352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logainne Schwartzandgrubenierre |
E211514
|
entity |
| Predicate | notableEmotion |
P76175
|
FINISHED |
| Object | fear of failure |
—
|
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: fear of failure | Statement: [Logainne Schwartzandgrubenierre, notableEmotion, fear of failure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEmotion Context triple: [Logainne Schwartzandgrubenierre, notableEmotion, fear of failure]
-
A.
emotionDisplayed
Indicates that an entity is outwardly expressing or showing a particular emotion.
-
B.
emotionState
chosen
Indicates the emotional condition or feeling that an entity is currently experiencing.
-
C.
emotionEffect
Indicates that one entity’s emotional state causes or influences a change in another entity’s feelings, behavior, or condition.
-
D.
intendedEmotion
Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
-
E.
notableFear
Indicates that one entity is especially afraid of, or has a significant fear related to, another entity.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618bd30881909e54d0708f144786 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:53 p.m.