Triple
T5829702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Lassiter |
E129313
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
President Lassiter
President Lassiter is a fictional U.S. president character, notably portrayed by actor James Brolin in the television series "The West Wing."
|
E547900
|
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: President Lassiter | Statement: [Owen Lassiter, title, President Lassiter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: President Lassiter Context triple: [Owen Lassiter, title, President Lassiter]
-
A.
Don Traeger
Don Traeger is a video game industry figure best known as a co-founder of the game development studio Treyarch.
-
B.
Turk Malloy
Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
-
C.
Alvin Dewey
Alvin Dewey was a real-life Kansas Bureau of Investigation agent best known for leading the investigation into the Clutter family murders, as depicted in Truman Capote’s nonfiction novel "In Cold Blood."
-
D.
Tom Powers
Tom Powers is an actor known for his role in the film "Hellgate."
-
E.
Sheriff Ed Earl Dodd
Sheriff Ed Earl Dodd is a central fictional lawman character in the musical comedy story "The Best Little Whorehouse in Texas," known for his complicated relationship with the local brothel and its madam.
- 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: President Lassiter Triple: [Owen Lassiter, title, President Lassiter]
Generated description
President Lassiter is a fictional U.S. president character, notably portrayed by actor James Brolin in the television series "The West Wing."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: President Lassiter Target entity description: President Lassiter is a fictional U.S. president character, notably portrayed by actor James Brolin in the television series "The West Wing."
-
A.
Don Traeger
Don Traeger is a video game industry figure best known as a co-founder of the game development studio Treyarch.
-
B.
Turk Malloy
Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
-
C.
Alvin Dewey
Alvin Dewey was a real-life Kansas Bureau of Investigation agent best known for leading the investigation into the Clutter family murders, as depicted in Truman Capote’s nonfiction novel "In Cold Blood."
-
D.
Tom Powers
Tom Powers is an actor known for his role in the film "Hellgate."
-
E.
Sheriff Ed Earl Dodd
Sheriff Ed Earl Dodd is a central fictional lawman character in the musical comedy story "The Best Little Whorehouse in Texas," known for his complicated relationship with the local brothel and its madam.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346905848190a8f541401da05604 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09866fd248190b4248a993051b732 |
completed | March 23, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c0995672f08190acce2a14266ccf6a |
completed | March 23, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099fefd6c8190ae1b4480ef133f02 |
completed | March 23, 2026, 1:40 a.m. |
Created at: March 22, 2026, 3:54 p.m.