Triple
T11343566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Frank Furillo |
E268659
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Frank
Frank is the given name of Captain Frank Furillo, the central police precinct commander character from the television series "Hill Street Blues."
|
E920576
|
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: Frank | Statement: [Captain Frank Furillo, givenName, Frank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank Context triple: [Captain Frank Furillo, givenName, Frank]
-
A.
Frank
Frank is the given first name of the American contemporary street artist and graphic designer Shepard Fairey, known for his iconic "OBEY" and Barack Obama "Hope" posters.
-
B.
Frank
Frank is the given name of British screenwriter and children's author Frank Cottrell-Boyce.
-
C.
Frank
Frank is the critically acclaimed 2003 debut studio album by English singer-songwriter Amy Winehouse, blending jazz, soul, and R&B influences.
-
D.
Frank
Frank is a central, charismatic yet sinister antagonist in the psychological thriller film "Don't Worry Darling," portrayed by Chris Pine.
-
E.
Frank
Frank is the Allied reporting name for the Japanese Nakajima Ki-84, a highly capable World War II fighter aircraft used by the Imperial Japanese Army Air Service.
- 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: Frank Triple: [Captain Frank Furillo, givenName, Frank]
Generated description
Frank is the given name of Captain Frank Furillo, the central police precinct commander character from the television series "Hill Street Blues."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frank Target entity description: Frank is the given name of Captain Frank Furillo, the central police precinct commander character from the television series "Hill Street Blues."
-
A.
Frank
Frank is the nickname of Frank Sheeran, an American labor union official and alleged mob hitman whose life inspired the film "The Irishman."
-
B.
Frank
Frank is the given name of American actor Frank Grillo, known for his roles in action and thriller films such as "The Purge" series and "Captain America: The Winter Soldier."
-
C.
Frank
Frank is the given first name of American crime novelist Mickey Spillane, best known for creating the hard-boiled detective Mike Hammer.
-
D.
Frank
Frank is the given name of filmmaker Frank Darabont, the acclaimed director and screenwriter known for works such as The Shawshank Redemption and The Green Mile.
-
E.
Frank
Frank is the given name of Frank Oz, the renowned puppeteer, actor, and director best known for his work with the Muppets and on Star Wars.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1e360c8190a02d1e2d1d6f4b5d |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5435f4e288190b9b0029dc35bf2c5 |
completed | April 19, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69e5474aad3481909c1afb385cb5889b |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54edb9ac08190a760de11857e791c |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.