Triple
T6067058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob's Burgers |
E135185
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Dan Mintz
Dan Mintz is an American comedian, writer, and actor best known for voicing Tina Belcher on the animated television series "Bob's Burgers."
|
E565442
|
NE FINISHED |
How this triple was built (4 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: Dan Mintz | Statement: [Bob's Burgers, voiceActor, Dan Mintz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Mintz Context triple: [Bob's Burgers, voiceActor, Dan Mintz]
-
A.
Dan Trachtenberg
Dan Trachtenberg is an American filmmaker best known for directing the thriller "10 Cloverfield Lane" and the "Predator" prequel "Prey."
-
B.
Mark Levine
Mark Levine is an American politician and public servant who serves as the borough president of Manhattan in New York City.
-
C.
Doug Mankoff
Doug Mankoff is a film and television producer known for financing and executive producing a wide range of independent and prestige projects.
-
D.
Greg Medavoy
Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
-
E.
Dan Mindel
Dan Mindel is a British cinematographer known for his work on major blockbuster films, including entries in the Star Trek and Star Wars franchises.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dan Mintz Triple: [Bob's Burgers, voiceActor, Dan Mintz]
Generated description
Dan Mintz is an American comedian, writer, and actor best known for voicing Tina Belcher on the animated television series "Bob's Burgers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan Mintz Target entity description: Dan Mintz is an American comedian, writer, and actor best known for voicing Tina Belcher on the animated television series "Bob's Burgers."
-
A.
Dan Trachtenberg
Dan Trachtenberg is an American filmmaker best known for directing the thriller "10 Cloverfield Lane" and the "Predator" prequel "Prey."
-
B.
Mark Levine
Mark Levine is an American politician and public servant who serves as the borough president of Manhattan in New York City.
-
C.
Doug Mankoff
Doug Mankoff is a film and television producer known for financing and executive producing a wide range of independent and prestige projects.
-
D.
Greg Medavoy
Greg Medavoy is a mild-mannered, often self-doubting detective whose personal growth and quiet competence provide both comic relief and emotional depth throughout the TV series "NYPD Blue."
-
E.
Dan Mindel
Dan Mindel is a British cinematographer known for his work on major blockbuster films, including entries in the Star Trek and Star Wars franchises.
- F. None of above. chosen
Provenance (5 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0573f17088190a728f1c290cc9d1d |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d297ff88190a01b98f7ec9d9cf1 |
completed | March 23, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69c11e956aa08190ac3fef49fb67471c |
completed | March 23, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11f05ff9081908adc7f40fa12e834 |
completed | March 23, 2026, 11:07 a.m. |
Created at: March 22, 2026, 4:10 p.m.