Triple
T3644728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Benioff |
E77269
|
entity |
| Predicate | coCreatorWith |
P7732
|
FINISHED |
| Object | Alexander Woo |
E375634
|
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: Alexander Woo | Statement: [David Benioff, coCreatorWith, Alexander Woo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Woo Context triple: [David Benioff, coCreatorWith, Alexander Woo]
-
A.
Alexander Woo
chosen
Alexander Woo is a television writer and producer known for his work on series such as True Blood and as a co-creator of the TV adaptation of The Three-Body Problem.
-
B.
Victor Wong
Victor Wong was an American character actor known for his distinctive presence in films such as "The Last Emperor," "Big Trouble in Little China," and "Tremors."
-
C.
Stephen Wong
Stephen Wong is a technology entrepreneur best known as a founder of the software company Embarcadero Technologies.
-
D.
Eugene Wong
Eugene Wong is a computer scientist best known for his pioneering contributions to relational database theory and the development of early relational database systems.
-
E.
Cecil Chao
Cecil Chao is a Hong Kong billionaire property developer best known internationally for offering large monetary rewards to any man who could successfully marry his lesbian daughter.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35c28908190b253f4835918a2b4 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4dcd15c8190a763363adb7740c4 |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:24 p.m.