Triple
T21270536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Werb |
E524243
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Firehouse Dog
Firehouse Dog is a family adventure film about a talented canine who becomes both a movie star and a firehouse mascot, helping a struggling fire station and its crew.
|
E1475127
|
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: Firehouse Dog | Statement: [Mike Werb, notableWork, Firehouse Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Firehouse Dog Context triple: [Mike Werb, notableWork, Firehouse Dog]
-
A.
Firehouse Dogs
Firehouse Dogs is a family-friendly action-comedy film about a group of firefighting dogs who help a struggling fire station regain its former glory.
-
B.
Doggie
Doggie is a nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known for his years with the Cincinnati Reds' "Big Red Machine."
-
C.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
D.
Mr. Dog
Mr. Dog is a musical project or band associated with musician David Bryson, known for his work in alternative rock.
-
E.
Brown Dog
Brown Dog is a series of novellas by American writer Jim Harrison that follows the misadventures of a hard-drinking, womanizing, yet oddly tender-hearted man in Michigan’s Upper Peninsula.
- 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: Firehouse Dog Triple: [Mike Werb, notableWork, Firehouse Dog]
Generated description
Firehouse Dog is a family adventure film about a talented canine who becomes both a movie star and a firehouse mascot, helping a struggling fire station and its crew.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Firehouse Dog Target entity description: Firehouse Dog is a family adventure film about a talented canine who becomes both a movie star and a firehouse mascot, helping a struggling fire station and its crew.
-
A.
Firehouse Dogs
Firehouse Dogs is a family-friendly action-comedy film about a group of firefighting dogs who help a struggling fire station regain its former glory.
-
B.
Doggie
Doggie is a nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known for his years with the Cincinnati Reds' "Big Red Machine."
-
C.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
D.
Mr. Dog
Mr. Dog is a musical project or band associated with musician David Bryson, known for his work in alternative rock.
-
E.
Brown Dog
Brown Dog is a series of novellas by American writer Jim Harrison that follows the misadventures of a hard-drinking, womanizing, yet oddly tender-hearted man in Michigan’s Upper Peninsula.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651c9208190a87d45acd6fafaaa |
completed | April 21, 2026, 8:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099004e2388190b68ff3b9ddd2ae7c |
completed | May 17, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_6a09912674208190b30d2ba4b75dcf06 |
completed | May 17, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09928878208190bdfdbfa4d33350e1 |
completed | May 17, 2026, 10:03 a.m. |
Created at: April 16, 2026, 4:01 p.m.