Triple
T1498069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jude Law |
E29731
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Dr. Watson
Dr. Watson is the loyal friend, assistant, and biographer of Sherlock Holmes in Arthur Conan Doyle’s detective stories.
|
E172871
|
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: Dr. Watson | Statement: [Jude Law, portrayed, Dr. Watson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Watson Context triple: [Jude Law, portrayed, Dr. Watson]
-
A.
Holmes
Holmes is a common English surname borne by numerous notable figures, including writers, jurists, and fictional characters such as Sherlock Holmes.
-
B.
Holmes
Holmes is a consumer brand best known for its home comfort products such as fans, heaters, and air purifiers.
-
C.
Colin Dexter
Colin Dexter was a British crime writer best known as the creator of the Inspector Morse detective novels, which inspired a popular television series.
-
D.
Fabian of the Yard
Fabian of the Yard is a 1950s British television crime drama series following a Scotland Yard detective as he investigates real-life-inspired cases.
-
E.
James Arthur Monk
James Arthur Monk, better known as Art Monk, is a Hall of Fame former NFL wide receiver renowned for his prolific career with the Washington Redskins and multiple Super Bowl victories.
- 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: Dr. Watson Triple: [Jude Law, portrayed, Dr. Watson]
Generated description
Dr. Watson is the loyal friend, assistant, and biographer of Sherlock Holmes in Arthur Conan Doyle’s detective stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dr. Watson Target entity description: Dr. Watson is the loyal friend, assistant, and biographer of Sherlock Holmes in Arthur Conan Doyle’s detective stories.
-
A.
Holmes
Holmes is a common English surname borne by numerous notable figures, including writers, jurists, and fictional characters such as Sherlock Holmes.
-
B.
Holmes
Holmes is a consumer brand best known for its home comfort products such as fans, heaters, and air purifiers.
-
C.
Colin Dexter
Colin Dexter was a British crime writer best known as the creator of the Inspector Morse detective novels, which inspired a popular television series.
-
D.
Fabian of the Yard
Fabian of the Yard is a 1950s British television crime drama series following a Scotland Yard detective as he investigates real-life-inspired cases.
-
E.
James Arthur Monk
James Arthur Monk, better known as Art Monk, is a Hall of Fame former NFL wide receiver renowned for his prolific career with the Washington Redskins and multiple Super Bowl victories.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6ef5ce88190a6b520525a6d42a3 |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2331b49881908672251bb86418df |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad23d86d088190bbea03d5d49bc009 |
completed | March 8, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2459c38c8190a8c166c2743a8936 |
completed | March 8, 2026, 7:25 a.m. |
Created at: March 1, 2026, 8:12 p.m.