Triple
T995632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Thompson |
E21488
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Gaia Wise |
E21488
|
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: Gaia Wise | Statement: [Emma Thompson, child, Gaia Wise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaia Wise Context triple: [Emma Thompson, child, Gaia Wise]
-
A.
Gaia Wise
chosen
Gaia Wise is a British actress and the daughter of acclaimed performers Emma Thompson and Greg Wise.
-
B.
Kristin Harmon
Kristin Harmon was an American actress and painter best known as a member of the Nelson entertainment family and for her appearances on the television series "The Adventures of Ozzie and Harriet."
-
C.
Maye Haldeman
Maye Haldeman is a Canadian-South African model and dietitian best known as Maye Musk, the mother of entrepreneur Elon Musk and a prominent figure in fashion and nutrition.
-
D.
Judy-Lynn del Rey
Judy-Lynn del Rey was an influential American science fiction editor and publisher who helped shape the modern genre through her leadership at Del Rey Books.
-
E.
Sandra Henderson
Sandra Henderson is a Canadian former athlete best known for co-lighting the Olympic cauldron at the 1976 Summer Olympics in Montreal.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4df6dcc819084a7c0a50637a2c2 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a18db488190bf7d604fe6a33b9e |
completed | March 7, 2026, 1:37 p.m. |
Created at: March 1, 2026, 7:41 p.m.