Triple
T6627820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two and a Half Men |
E149847
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Berta – Conchata Ferrell |
E174326
|
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: Berta – Conchata Ferrell | Statement: [Two and a Half Men, portrayedBy, Berta – Conchata Ferrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berta – Conchata Ferrell Context triple: [Two and a Half Men, portrayedBy, Berta – Conchata Ferrell]
-
A.
Bette
Bette is the given name of American singer, actress, and comedian Bette Midler.
-
B.
Berta
chosen
Berta is a fictional character in Paulo Coelho’s novel "The Devil and Miss Prym," serving as one of the villagers whose life and choices reflect the book’s central moral and spiritual dilemmas.
-
C.
Berta
Berta is a Nilo-Saharan language spoken primarily in parts of Sudan and Ethiopia.
-
D.
Betty
Betty is a feminine given name, often a diminutive of Elizabeth, that has been widely used in English-speaking countries.
-
E.
Betty
"Betty" is the Allied reporting name for the Mitsubishi G4M, a Japanese World War II twin-engine land-based bomber known for its long range and vulnerability due to lack of armor and self-sealing fuel tanks.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa2e4a48190ba3c70013bab14f2 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbe690548190a771bb1ec8d3aacf |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:59 p.m.