Triple
T19496355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helena Bonham Carter |
E487779
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Nell Burton |
—
|
NE NERFINISHED |
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: Nell Burton | Statement: [Helena Bonham Carter, hasChild, Nell Burton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nell Burton Context triple: [Helena Bonham Carter, hasChild, Nell Burton]
-
A.
Nell Burton
chosen
Nell Burton is the daughter of filmmaker Tim Burton and actress Helena Bonham Carter.
-
B.
Nell Jones
Nell Jones is an intelligence analyst and tech specialist on the television series "NCIS: Los Angeles," known for her sharp analytical skills and quirky personality.
-
C.
Emily Burton
Emily Burton was the wife of English poet and playwright Gordon Bottomley, known primarily in relation to his personal life and correspondence.
-
D.
Jessica Burton
Jessica Burton is a daughter of the acclaimed Welsh actor Richard Burton.
-
E.
Nell Bowen
Nell Bowen is a central character in the 1946 film "Bedlam," portrayed as a compassionate woman who becomes involved with the mistreated inmates of the infamous London asylum.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6349182ec81908dd301f802530eec |
completed | April 20, 2026, 2:13 p.m. |
Created at: April 10, 2026, 1:40 p.m.