Triple
T8239647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Mungo Grant |
E192501
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Tabitha Grant |
E197576
|
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: Tabitha Grant | Statement: [John Mungo Grant, sibling, Tabitha Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabitha Grant Context triple: [John Mungo Grant, sibling, Tabitha Grant]
-
A.
Tabitha Grant
chosen
Tabitha Grant is the daughter of British actor Hugh Grant and his former partner Tinglan Hong.
-
B.
Tabitha King
Tabitha King is an American author known for her novels and short stories, and as the wife of writer Stephen King.
-
C.
Tabitha Hodge Broderick
Tabitha Hodge Broderick is one of the twin daughters of actors Sarah Jessica Parker and Matthew Broderick.
-
D.
Tabitha
Tabitha is a feminine given name of Aramaic origin, traditionally interpreted to mean "gazelle" and associated with grace and beauty.
-
E.
Thea Gregory
Thea Gregory was a British actress active in the mid-20th century, known for her roles in films such as the science fiction movie "Spaceways."
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783cce5c8190bf116704d2923ade |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6801eaec8190a104ac6b08030376 |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:47 p.m.