Triple
T10453327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Brodie-Sangster |
E246487
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Tasha Bertram |
E246495
|
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: Tasha Bertram | Statement: [Thomas Brodie-Sangster, hasRelative, Tasha Bertram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tasha Bertram Context triple: [Thomas Brodie-Sangster, hasRelative, Tasha Bertram]
-
A.
Tasha Bertram
chosen
Tasha Bertram is a British woman known primarily as the mother of actor Thomas Brodie-Sangster.
-
B.
Christianna Brand
Christianna Brand was a British crime and children's author best known for her "Nurse Matilda" stories, which inspired the film "Nanny McPhee."
-
C.
Susanna Bennett
Susanna Bennett was the wife of Irish Gothic writer Sheridan Le Fanu, known primarily through her marriage to the influential Victorian author.
-
D.
Sarah Alexander
Sarah Alexander is a British actress best known for her roles in television comedies such as "Coupling" and "Green Wing."
-
E.
Sara Lowndes
Sara Lowndes is an American former model and artist best known as the first wife of musician Bob Dylan and the mother of several of his children.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0d73d48190acb687b96918e0cf |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f07c9f48190b0fce7740a2e003a |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:17 p.m.