Triple
T15478908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Science and Civilisation in China |
E376860
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | Christopher Cullen |
—
|
NE ONDG |
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: Christopher Cullen | Statement: [Science and Civilisation in China, coAuthor, Christopher Cullen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Cullen Context triple: [Science and Civilisation in China, coAuthor, Christopher Cullen]
-
A.
Glenn Cullen
Glenn Cullen is a beleaguered political adviser in the British satirical television series "The Thick of It," known for his earnestness, anxiety, and frequent misfortune within the brutal world of government spin.
-
B.
Andy Cullen
Andy Cullen is a fictional character from the classic 1950 film noir "The Man Who Cheated Himself."
-
C.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
D.
Jim Creeggan
Jim Creeggan is a Canadian musician best known as the longtime bassist and backing vocalist for the rock band Barenaked Ladies.
-
E.
Paul McCollough
Paul McCollough is a film composer best known for scoring the 1990 remake of "Night of the Living Dead."
- 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: Christopher Cullen Triple: [Science and Civilisation in China, coAuthor, Christopher Cullen]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christopher Cullen Target entity description: Christopher Cullen is a British sinologist and historian of science known for his scholarship on ancient Chinese astronomy and mathematics, including major contributions to the multi-volume series "Science and Civilisation in China."
-
A.
Glenn Cullen
Glenn Cullen is a beleaguered political adviser in the British satirical television series "The Thick of It," known for his earnestness, anxiety, and frequent misfortune within the brutal world of government spin.
-
B.
Andy Cullen
Andy Cullen is a fictional character from the classic 1950 film noir "The Man Who Cheated Himself."
-
C.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
D.
Jim Creeggan
Jim Creeggan is a Canadian musician best known as the longtime bassist and backing vocalist for the rock band Barenaked Ladies.
-
E.
Paul McCollough
Paul McCollough is a film composer best known for scoring the 1990 remake of "Night of the Living Dead."
- F. None of above. chosen
Provenance (4 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8a77a081909f12f13660452f4a |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01963971248190b5e2b0b77eb7cbfe |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 3:34 a.m.