Triple
T11228622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemma Chan |
E265759
|
entity |
| Predicate | hasPartner |
P1136
|
FINISHED |
| Object | Dominic Cooper |
E229367
|
NE FINISHED |
How this triple was built (2 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: Dominic Cooper | Statement: [Gemma Chan, hasPartner, Dominic Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dominic Cooper Context triple: [Gemma Chan, hasPartner, Dominic Cooper]
-
A.
Dominic Cooper
chosen
Dominic Cooper is an English actor known for his roles in films such as "Mamma Mia!" and "The Devil's Double," as well as the TV series "Preacher."
-
B.
James Whishaw
James Whishaw is the twin brother of English actor Ben Whishaw.
-
C.
Alfred Enoch
Alfred Enoch is a British actor best known for playing Wes Gibbins in the television series "How to Get Away with Murder" and appearing as Dean Thomas in the "Harry Potter" film franchise.
-
D.
Bob Morley
Bob Morley is an Australian actor best known for playing Bellamy Blake on the post-apocalyptic television series "The 100."
-
E.
Ben Barnes
Ben Barnes is an English actor best known for his roles in films like "The Chronicles of Narnia" series and "Dorian Gray," as well as TV shows such as "Westworld" and "Shadow and Bone."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e900fbcc8190a3177f8a73564433 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3049e788190a7caf324a4b793d2 |
completed | April 20, 2026, 7:17 a.m. |
Created at: April 8, 2026, 9:30 p.m.