Triple
T13256143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Bruce |
E315662
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Nigel Bruce |
E380480
|
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: Nigel Bruce | Statement: [Isabel Bruce, sibling, Nigel Bruce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigel Bruce Context triple: [Isabel Bruce, sibling, Nigel Bruce]
-
A.
Nigel Bruce
Nigel Bruce was a British character actor best known for portraying Dr. Watson alongside Basil Rathbone’s Sherlock Holmes in a popular series of films from the late 1930s and 1940s.
-
B.
Nigel Bruce
chosen
Nigel Bruce was a Scottish nobleman and younger brother of King Robert the Bruce, executed by the English during the Wars of Scottish Independence.
-
C.
Monty Woolley
Monty Woolley was an American stage, film, and radio actor best known for his acerbic, aristocratic persona in classics like "The Man Who Came to Dinner."
-
D.
Charles Hawtrey
Charles Hawtrey was a British comic actor best known for his eccentric, effete characters in the long-running "Carry On" film series.
-
E.
Tony Jay
Tony Jay was a British actor and voice actor renowned for his deep, resonant voice and villainous roles in animation, film, and video games.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7614fc8190a1cac076d706e9aa |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4240d881909f0ee898fd272826 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:24 p.m.