Triple
T17831215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attallah Shabazz |
E445258
|
entity |
| Predicate | hasTopicOfSpeech |
P3281
|
FINISHED |
| Object | legacy of Malcolm X |
—
|
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: legacy of Malcolm X | Statement: [Attallah Shabazz, hasTopicOfSpeech, legacy of Malcolm X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTopicOfSpeech Context triple: [Attallah Shabazz, hasTopicOfSpeech, legacy of Malcolm X]
-
A.
isSpoken
Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
-
B.
hasSpokenAbout
chosen
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
C.
includesSpeech
Indicates that one entity contains, features, or incorporates spoken language or dialogue as part of its content or behavior.
-
D.
isSpokenLanguage
Indicates that a language is used primarily for oral communication by speakers, as opposed to being only written or symbolic.
-
E.
hasVoiceIn
Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d248ecc8190b3f0d001b539d960 |
completed | April 19, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:15 a.m.