Triple
T8267853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald "Ducky" Mallard |
E193345
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Donald Mallard |
E722684
|
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: Donald Mallard | Statement: [Donald "Ducky" Mallard, fullName, Donald Mallard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Mallard Context triple: [Donald "Ducky" Mallard, fullName, Donald Mallard]
-
A.
Donald Mallard
chosen
Donald "Ducky" Mallard is the eccentric and highly knowledgeable chief medical examiner for NCIS in the television series NCIS.
-
B.
Mel Sharples
Mel Sharples is a gruff but good-hearted diner owner and cook from the sitcom "Alice," known for his no-nonsense attitude and catchphrase, "Stow it!"
-
C.
Merrill De Maris
Merrill De Maris was an American screenwriter and story artist for Walt Disney Studios, best known for co-writing the screenplay for the landmark animated feature "Snow White and the Seven Dwarfs."
-
D.
Pierpont Mauler
Pierpont Mauler is a powerful meatpacking magnate and symbolic capitalist figure in Bertolt Brecht’s play "Saint Joan of the Stockyards."
-
E.
J. Carrol Naish
J. Carrol Naish was an American character actor known for his prolific film career from the 1930s to the 1960s, often portraying ethnically diverse roles and earning multiple Academy Award nominations.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb794fc4208190b268bc69ff2b28a9 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6c1451881909cfed1e27b57847c |
completed | April 2, 2026, 1:30 a.m. |
Created at: March 30, 2026, 5:50 p.m.