Triple
T6268600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mick Jagger |
E140473
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | James Jagger |
E331286
|
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: James Jagger | Statement: [Mick Jagger, hasChild, James Jagger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Jagger Context triple: [Mick Jagger, hasChild, James Jagger]
-
A.
James Jagger
chosen
James Jagger is a British actor and musician, best known as the son of Mick Jagger and Jerry Hall and for roles in projects like the TV series "Vinyl."
-
B.
Pip Torrens
Pip Torrens is a British actor known for his character roles in film and television, including appearances in series such as "Patrick Melrose," "The Crown," and "Preacher."
-
C.
John Brierley
John Brierley is the real-life Australian man whose childhood journey from India to adoption and later search for his birth family inspired the book and film "Lion."
-
D.
Gabriel Jagger
Gabriel Jagger is a British model and media figure, best known as one of Mick Jagger and Jerry Hall’s children.
-
E.
Jonathan Hyde
Jonathan Hyde is an English-Australian actor known for his roles in films like "Titanic," "Jumanji," and "The Mummy," as well as extensive work in television, theatre, and voice acting.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063a28da081909f4bec8f7c1dedef |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24460f1bc8190b15ca58331410ec2 |
completed | March 24, 2026, 7:59 a.m. |
Created at: March 22, 2026, 4:25 p.m.