Triple
T14240644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippa Cobb |
E352993
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cobb |
E532406
|
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: [Philippa Cobb, familyName, Cobb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobb Context triple: [Philippa 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
Cobb is a biographical sports drama film about legendary baseball player Ty Cobb, written and directed by Ron Shelton.
-
C.
Cobb
chosen
Cobb is a surname most notably associated with John B. Cobb Jr., an American theologian known for his work in process theology and ecological ethics.
-
D.
Cobb-Vantress
Cobb-Vantress is a leading global poultry genetics and breeding company specializing in broiler breeding stock for the chicken meat industry.
-
E.
Theo Cobb Landon
Theo Cobb Landon is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282183308190b63172972773b3c2 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.