Triple
T4563056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Murphy |
E121840
|
entity |
| Predicate | portrayedAsRank |
P55200
|
FINISHED |
| Object | DEA agent assigned to Colombia |
—
|
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: DEA agent assigned to Colombia | Statement: [Steve Murphy, portrayedAsRank, DEA agent assigned to Colombia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedAsRank Context triple: [Steve Murphy, portrayedAsRank, DEA agent assigned to Colombia]
-
A.
representsRank
Indicates that one entity serves as the rank, status, or hierarchical level assigned to another entity.
-
B.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
C.
namedForRank
Indicates that something is named after a specific rank or title held by an entity.
-
D.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
-
E.
wasPortrayedAs
chosen
Indicates that one entity has been depicted or represented in the form or role of another entity, typically within some medium or context.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd5830b4308190a63699bf28922375 |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.