Triple
T244937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gavin Newsom |
E5015
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Tessa Menzies |
E5015
|
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: Tessa Menzies | Statement: [Gavin Newsom, hasChild, Tessa Menzies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tessa Menzies Context triple: [Gavin Newsom, hasChild, Tessa Menzies]
-
A.
Tessa Menzies
chosen
Tessa Menzies is a child of California politician and governor Gavin Newsom.
-
B.
Felicity Blunt
Felicity Blunt is a British literary agent known publicly as the sister of actress Emily Blunt and the wife of actor Stanley Tucci.
-
C.
Joanna Blunt
Joanna Blunt is the mother of British actress Emily Blunt and a member of the Blunt family connected to the entertainment industry.
-
D.
Miranda Richardson
Miranda Richardson is an acclaimed English actress known for her versatile performances in film, television, and theatre, including notable roles in "The Crying Game," "Damage," and the "Harry Potter" series.
-
E.
Sheila Hancock
Sheila Hancock is a British actress and author renowned for her extensive work in theatre, television, and film, as well as her appearances as a television presenter and panelist.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e01015108190b617592019306e39 |
completed | March 1, 2026, 6:43 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.