Triple
T17041050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manning Marable |
E413446
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Manning |
E225250
|
NE 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: Manning | Statement: [Manning Marable, givenName, Manning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manning Context triple: [Manning Marable, givenName, Manning]
-
A.
Manning
chosen
Manning is an English-language surname borne by numerous notable figures across politics, sports, literature, and other fields.
-
B.
Manning and Loring
Manning and Loring was a late 18th-century Boston publishing and printing firm known for issuing significant works from the early United States, including major histories of the American Revolution.
-
C.
Manning Gurian
Manning Gurian was the husband of acclaimed American actress Julie Harris, known primarily in relation to her personal life.
-
D.
Jatemme Manning
Jatemme Manning is a violent and unpredictable enforcer in the 2018 heist thriller "Widows," known for his ruthless methods and loyalty to his criminal brother.
-
E.
Wayman
Wayman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and academics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f6a0c08190a838279b83b55b72 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012338a95c8190951db96209edb61a |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.