Triple
T28541920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrés Escobar |
E722311
|
entity |
| Predicate | murderContext |
P34163
|
FINISHED |
| Object | post-World Cup backlash in 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: post-World Cup backlash in Colombia | Statement: [Andrés Escobar, murderContext, post-World Cup backlash in Colombia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: murderContext Context triple: [Andrés Escobar, murderContext, post-World Cup backlash in Colombia]
-
A.
reasonForMurder
chosen
Indicates the motive or underlying cause that led someone to commit a murder.
-
B.
murders
Indicates that one entity unlawfully and intentionally kills another entity.
-
C.
murderTriggers
Indicates that the act of murder initiates or causes a subsequent event, condition, or process.
-
D.
victimOfMurderPlot
Indicates that one entity is the intended target or victim in another entity’s plan or plot to commit murder.
-
E.
featuresMurderInvestigation
Indicates that the subject involves or includes a murder investigation as a central element or storyline.
- 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6500a3de08190920c56b104073e7f |
completed | May 2, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:36 a.m.