Triple
T27617756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abimelech |
E700483
|
entity |
| Predicate | fearMotive |
P162754
|
FINISHED |
| Object | fear of bringing guilt on his kingdom |
—
|
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 bringing guilt on his kingdom | Statement: [Abimelech, fearMotive, fear of bringing guilt on his kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fearMotive Context triple: [Abimelech, fearMotive, fear of bringing guilt on his kingdom]
-
A.
fearedAs
Indicates that one entity is regarded or perceived by another as an object of fear or intimidation.
-
B.
notableFear
Indicates that one entity is especially afraid of, or has a significant fear related to, another entity.
-
C.
viewOnFear
Indicates a relationship where one entity expresses or holds a particular perspective, attitude, or opinion about fear.
-
D.
fearedFor
Indicates that one entity experiences fear or concern about the safety, well-being, or fate of another entity.
-
E.
perceivedThreat
Indicates that one entity regards another entity or situation as potentially harmful, dangerous, or adverse.
- 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f630d9c4ec8190af57c75c41ac5b05 |
completed | May 2, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d14c24c81909e86678c1b5fd429 |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 27, 2026, 2:13 p.m.