Triple
T16333556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francine Jones |
E396616
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Tish Jones |
E400462
|
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: Tish Jones | Statement: [Francine Jones, child, Tish Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tish Jones Context triple: [Francine Jones, child, Tish Jones]
-
A.
Tish Jones
chosen
Tish Jones is a supporting character in the Doctor Who universe, known as the ambitious and resourceful sister of Martha Jones.
-
B.
Georgia Jones
Georgia Jones is the central protagonist of the television series "Shake It Up," around whom the show's main storylines and character relationships revolve.
-
C.
Francine Jones
Francine Jones is a recurring character in the Doctor Who television series, best known as the mother of companion Martha Jones and for her involvement in the events surrounding the Master’s takeover of Earth.
-
D.
Anney Jones
Anney Jones is the daughter of professional wrestler AJ Styles.
-
E.
Rachel Jones
Rachel Jones is the woman after whom the small town of Rachel, Nevada—known for its proximity to Area 51—was named.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e1da1081909bec6e77e6109dce |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232399008190b23dfaec237563ef |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.