Triple
T9660754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurence Olivier |
E233582
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Tamsin Olivier |
E233582
|
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: Tamsin Olivier | Statement: [Laurence Olivier, child, Tamsin Olivier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamsin Olivier Context triple: [Laurence Olivier, child, Tamsin Olivier]
-
A.
Tamsin Olivier
chosen
Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
-
B.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
-
C.
Natascha McElhone
Natascha McElhone is a British actress known for her film roles in the late 1990s and 2000s, including prominent performances in movies like "The Truman Show" and "Ronin," as well as her work in television series such as "Californication."
-
D.
Lily Houghton
Lily Houghton is a fictional, adventurous British botanist and explorer from the film "Jungle Cruise."
-
E.
Oona Laurence
Oona Laurence is an American actress known for her breakout role in the Broadway production of "Matilda the Musical" and subsequent performances in film and television.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c0a15e4819092ea0fb2cb6e1c12 |
completed | April 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af6abb008190860e4742656baa97 |
completed | April 5, 2026, 12:40 a.m. |
Created at: March 30, 2026, 8:14 p.m.