Triple
T3701072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margot Tennant |
E78578
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Margot Tennant |
E78578
|
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: Margot Tennant | Statement: [Margot Tennant, name, Margot Tennant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margot Tennant Context triple: [Margot Tennant, name, Margot Tennant]
-
A.
Margot Tennant
chosen
Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
-
B.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
-
C.
Tamsin Greig
Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
-
D.
Rosamund Pike
Rosamund Pike is an English actress known for her versatile performances in film and television, including acclaimed roles in movies such as "Gone Girl" and "Pride & Prejudice."
-
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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc514eb6c8190b3b74a603c717729 |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5627bcc1881909381707a29ea0954 |
completed | March 14, 2026, 1:28 p.m. |
Created at: March 8, 2026, 3:26 p.m.