Triple
T4730369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cooper Manning |
E104990
|
entity |
| Predicate | familyName |
P18
|
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: [Cooper Manning, familyName, Manning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manning Context triple: [Cooper Manning, familyName, Manning]
-
A.
Manning
chosen
Manning is an English-language surname borne by numerous notable figures across politics, sports, literature, and other fields.
-
B.
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.
-
C.
Wayman
Wayman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and academics.
-
D.
Wentz
Wentz is the surname of Carson Wentz, an American football quarterback known for his time with the Philadelphia Eagles and other NFL teams.
-
E.
Jamal Manning
Jamal Manning is a fictional Chicago crime boss and aspiring politician who serves as one of the primary antagonists in the heist thriller film "Widows" (2018).
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64629bc081908754aa8a2630091f |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10a4bc0481908935278afb13503d |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:19 p.m.