Triple
T33385207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sekou Odinga |
E854892
|
entity |
| Predicate | publicSpeakingTopic |
P165591
|
FINISHED |
| Object | mass incarceration |
—
|
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: mass incarceration | Statement: [Sekou Odinga, publicSpeakingTopic, mass incarceration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicSpeakingTopic Context triple: [Sekou Odinga, publicSpeakingTopic, mass incarceration]
-
A.
givesSpeechOn
Indicates that one entity delivers or presents a speech whose topic or subject matter concerns another entity.
-
B.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
-
C.
topicOfDiscourse
chosen
Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
-
D.
planningTopic
Indicates that the subject is the topic, theme, or focus around which planning activities or plans are being organized or developed.
-
E.
openingTopic
Indicates the primary subject or theme that initiates a discussion, conversation, or document.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
Created at: May 1, 2026, 1:35 a.m.