Triple
T36607177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumia Abu-Jamal |
E903070
|
entity |
| Predicate | causeCélèbreOf |
P100753
|
FINISHED |
| Object | anti–death penalty movement |
—
|
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: anti–death penalty movement | Statement: [Mumia Abu-Jamal, causeCélèbreOf, anti–death penalty movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeCélèbreOf Context triple: [Mumia Abu-Jamal, causeCélèbreOf, anti–death penalty movement]
-
A.
causeCélèbre
Indicates a relationship where an event, issue, or person becomes widely known and intensely debated or celebrated in public discourse.
-
B.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
organFamousFor
Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
-
D.
madeInternationallyFamousBy
Indicates that one entity became widely known across multiple countries as a result of the actions, influence, or association of another entity.
-
E.
possibleCauseOfNotability
chosen
Indicates that one entity is a potential reason or contributing factor for why another entity is notable or recognized.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 3, 2026, 4:11 p.m.