Triple
T7354378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Horizontal Lieutenant |
E169585
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Ted Bessell
Ted Bessell was an American television and film actor best known for co-starring as Donald Hollinger on the 1960s sitcom "That Girl."
|
E674982
|
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: Ted Bessell | Statement: [The Horizontal Lieutenant, castMember, Ted Bessell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Bessell Context triple: [The Horizontal Lieutenant, castMember, Ted Bessell]
-
A.
Tim Besse
Tim Besse is an American entrepreneur best known as a co-founder of the employee review and job-listing platform Glassdoor.
-
B.
Michael Bradsell
Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
-
C.
Michael Bradsell
Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
-
D.
Martin Boddey
Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
-
E.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
- 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: Ted Bessell Triple: [The Horizontal Lieutenant, castMember, Ted Bessell]
Generated description
Ted Bessell was an American television and film actor best known for co-starring as Donald Hollinger on the 1960s sitcom "That Girl."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Bessell Target entity description: Ted Bessell was an American television and film actor best known for co-starring as Donald Hollinger on the 1960s sitcom "That Girl."
-
A.
Tim Besse
Tim Besse is an American entrepreneur best known as a co-founder of the employee review and job-listing platform Glassdoor.
-
B.
Michael Bradsell
Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
-
C.
Michael Bradsell
Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
-
D.
Martin Boddey
Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
-
E.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10e71fc81909307ca39a61142d3 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86130228c819098544e5354c31b44 |
completed | March 28, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69c862677e008190928ac5b4a47906fc |
completed | March 28, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8630fe8608190afc7b67d9a80240b |
completed | March 28, 2026, 11:24 p.m. |
Created at: March 27, 2026, 3:05 p.m.