Triple
T10750907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cruising |
E253568
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Steve Burns
Steve Burns is an American actor best known for his role as the original host of the children’s television series "Blue’s Clues."
|
E884003
|
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: Steve Burns | Statement: [Cruising, mainCharacter, Steve Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Burns Context triple: [Cruising, mainCharacter, Steve Burns]
-
A.
Jon G. Burns
Jon G. Burns is an American Republican politician serving as Speaker of the Georgia House of Representatives.
-
B.
Fred Burns
Fred Burns was an American actor known for his roles in early silent-era Westerns and adventure films.
-
C.
Dan Burns
Dan Burns is the widowed advice columnist and devoted father at the center of the romantic comedy-drama film "Dan in Real Life."
-
D.
Steve Barnett
Steve Barnett is a veteran music and entertainment executive known for leading major record labels and producing high-profile music-related projects.
-
E.
Ben Burns
Ben Burns is the troubled teenage son at the center of the drama film "Ben Is Back," whose unexpected return home on Christmas Eve forces his family to confront his struggle with addiction and its consequences.
- 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: Steve Burns Triple: [Cruising, mainCharacter, Steve Burns]
Generated description
Steve Burns is an American actor best known for his role as the original host of the children’s television series "Blue’s Clues."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Burns Target entity description: Steve Burns is an American actor best known for his role as the original host of the children’s television series "Blue’s Clues."
-
A.
Jon G. Burns
Jon G. Burns is an American Republican politician serving as Speaker of the Georgia House of Representatives.
-
B.
Fred Burns
Fred Burns was an American actor known for his roles in early silent-era Westerns and adventure films.
-
C.
Dan Burns
Dan Burns is the widowed advice columnist and devoted father at the center of the romantic comedy-drama film "Dan in Real Life."
-
D.
Steve Barnett
Steve Barnett is a veteran music and entertainment executive known for leading major record labels and producing high-profile music-related projects.
-
E.
Ben Burns
Ben Burns is the troubled teenage son at the center of the drama film "Ben Is Back," whose unexpected return home on Christmas Eve forces his family to confront his struggle with addiction and its consequences.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc0ad188190b747bf9d10cf5de5 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de23292f8c8190a52c94c03e7d476d |
completed | April 14, 2026, 11:21 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:15 p.m.