Triple
T35697435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Oliver |
E1031478
|
entity |
| Predicate | dealWith |
P29943
|
FINISHED |
| Object | the Devil |
—
|
NE NERFINISHED |
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: the Devil | Statement: [Sam Oliver, dealWith, the Devil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dealWith Context triple: [Sam Oliver, dealWith, the Devil]
-
A.
negotiatesBetween
Indicates a relationship where an entity acts as an intermediary to facilitate negotiation or mediation between two other entities.
-
B.
negotiationAssociatedWith
Indicates a relationship where a negotiation is connected to, involves, or is conducted by a particular entity (such as a person, organization, or group).
-
C.
negotiation
Indicates a process in which two or more parties communicate and make offers and counteroffers to reach a mutually acceptable agreement.
-
D.
dealContent
Indicates that one entity contains, specifies, or represents the substantive terms, details, or material of a deal or agreement involving another entity.
-
E.
settlementWith
chosen
Indicates a relationship where one party reaches or maintains a settlement or agreement with another party, typically resolving a dispute or claim.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.