Triple
T8440955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Little |
E199348
|
entity |
| Predicate | fearInducingReputation |
P7327
|
FINISHED |
| Object | drug dealers flee when he whistles "The Farmer in the Dell" |
—
|
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: drug dealers flee when he whistles "The Farmer in the Dell" | Statement: [Omar Little, fearInducingReputation, drug dealers flee when he whistles "The Farmer in the Dell"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fearInducingReputation Context triple: [Omar Little, fearInducingReputation, drug dealers flee when he whistles "The Farmer in the Dell"]
-
A.
notableFear
chosen
Indicates that one entity is especially afraid of, or has a significant fear related to, another entity.
-
B.
hasQuirkyReputation
Indicates that an entity is regarded by others as having an unusual, eccentric, or unconventional character or style.
-
C.
deathAttracting
Indicates a relationship where one entity’s death draws, lures, or otherwise causes another entity to come closer or be attracted.
-
D.
viewOnFear
Indicates a relationship where one entity expresses or holds a particular perspective, attitude, or opinion about fear.
-
E.
threatenedBy
Indicates that one entity poses a danger or potential harm 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:08 p.m.