Triple
T10265261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallace Fard Muhammad |
E240695
|
entity |
| Predicate | biographicalDetails |
P4083
|
FINISHED |
| Object | largely unknown |
—
|
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: largely unknown | Statement: [Wallace Fard Muhammad, biographicalDetails, largely unknown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biographicalDetails Context triple: [Wallace Fard Muhammad, biographicalDetails, largely unknown]
-
A.
lifeDetails
chosen
Indicates that additional information or specific aspects about an entity’s life (such as background, experiences, or personal history) are being described.
-
B.
hasBiographicalTheme
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
-
C.
isBiographerOf
Indicates that one person has written a biography about another person.
-
D.
biographyWrittenBy
Indicates that a biography about a person or entity was authored by a specific writer.
-
E.
hasPartInBiography
Indicates that a person or entity is featured or plays a role within someone’s biographical account.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:33 a.m.