Triple
T11049816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come to Daddy |
E261215
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Martin Donovan |
E226318
|
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: Martin Donovan | Statement: [Come to Daddy, starring, Martin Donovan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Donovan Context triple: [Come to Daddy, starring, Martin Donovan]
-
A.
Martin Donovan
chosen
Martin Donovan is an American screenwriter, director, and actor known for his work on darkly comedic and genre-blending films such as "Death Becomes Her."
-
B.
Matt Donovan
Matt Donovan is a central human character in the supernatural drama series "The Vampire Diaries," known for his loyalty, moral compass, and resilience amid the chaos of Mystic Falls.
-
C.
Jack Donnelly
Jack Donnelly is a British actor best known for starring as Jason in the BBC fantasy-adventure series "Atlantis."
-
D.
Warde Donovan
Warde Donovan was an American actor best known for his marriage to pioneering stand-up comedian Phyllis Diller.
-
E.
Jeffrey Donovan
Jeffrey Donovan is an American actor best known for starring as Michael Westen in the television series "Burn Notice" and appearing in films such as "Sicario" and its sequel.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa06bae08190a0db615a258ded29 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.