Triple
T3030957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ty Cobb |
E82892
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cobb |
E289132
|
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: Cobb | Statement: [Ty Cobb, familyName, Cobb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobb Context triple: [Ty Cobb, familyName, Cobb]
-
A.
Cobb
Cobb is the skilled professional thief and extractor portrayed by Leonardo DiCaprio in Christopher Nolan’s science-fiction film "Inception."
-
B.
Cobb
chosen
Cobb is a biographical sports drama film about legendary baseball player Ty Cobb, written and directed by Ron Shelton.
-
C.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
-
D.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
E.
Mal Cobb
Mal Cobb is a central character in the film "Inception," known as Dom Cobb's deceased wife whose haunting presence blurs the line between reality and dream in his subconscious.
- 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_69ad8b21a62881908ec5dd4fba4a187c |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9aee2fec81908116939a8d773fc4 |
completed | March 8, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1debd245c819081eb2dec470f9156 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3:01 p.m.