Triple
T9579179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Christopher Turk |
E231123
|
entity |
| Predicate | closeColleague |
P11349
|
FINISHED |
| Object |
Ted Buckland
Ted Buckland is a neurotic, often bumbling hospital lawyer from the TV series "Scrubs," known for his awkward behavior and unrequited crushes.
|
E813726
|
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 Buckland | Statement: [Dr. Christopher Turk, closeColleague, Ted Buckland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Buckland Context triple: [Dr. Christopher Turk, closeColleague, Ted Buckland]
-
A.
Rick Buckler
Rick Buckler is an English drummer best known as the founding drummer of the influential mod revival band The Jam.
-
B.
Paul Buckley
Paul Buckley is a name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
-
C.
Andrew Buckland
Andrew Buckland is a film editor best known for his Academy Award-winning work on the racing drama "Ford v Ferrari."
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
David Buckley
David Buckley is a British film and television composer known for scoring numerous Hollywood productions, including action and thriller films.
- 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 Buckland Triple: [Dr. Christopher Turk, closeColleague, Ted Buckland]
Generated description
Ted Buckland is a neurotic, often bumbling hospital lawyer from the TV series "Scrubs," known for his awkward behavior and unrequited crushes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Buckland Target entity description: Ted Buckland is a neurotic, often bumbling hospital lawyer from the TV series "Scrubs," known for his awkward behavior and unrequited crushes.
-
A.
Rick Buckler
Rick Buckler is an English drummer best known as the founding drummer of the influential mod revival band The Jam.
-
B.
Paul Buckley
Paul Buckley is a name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
-
C.
Andrew Buckland
Andrew Buckland is a film editor best known for his Academy Award-winning work on the racing drama "Ford v Ferrari."
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
David Buckley
David Buckley is a British film and television composer known for scoring numerous Hollywood productions, including action and thriller films.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189ef34c48190974a1a4ca6943a87 |
completed | April 4, 2026, 10 p.m. |
| NEDg | Description generation | batch_69d18adf50308190bf1cc9d6dd1d7ea3 |
completed | April 4, 2026, 10:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b6a2fb0819092ee274310721b50 |
completed | April 4, 2026, 10:06 p.m. |
Created at: March 30, 2026, 8:05 p.m.