Triple
T8376009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabitha Grant |
E197576
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Felix Chang Hong Grant |
E720976
|
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: Felix Chang Hong Grant | Statement: [Tabitha Grant, sibling, Felix Chang Hong Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felix Chang Hong Grant Context triple: [Tabitha Grant, sibling, Felix Chang Hong Grant]
-
A.
Felix Chang Hong Grant
chosen
Felix Chang Hong Grant is one of the children of actor Hugh Grant, known as part of his high-profile but relatively private family.
-
B.
Y. Austin Chang
Y. Austin Chang was a prominent materials scientist and metallurgist known for his influential work in phase diagrams and thermodynamics of materials.
-
C.
Geoffrey Chung
Geoffrey Chung was a Jamaican record producer and audio engineer known for his influential work in reggae and roots music during the 1970s and 1980s.
-
D.
Alfred Chuang
Alfred Chuang is a Chinese-American technology entrepreneur best known as the co-founder and former CEO of enterprise software company BEA Systems.
-
E.
Daniel Zhang
Daniel Zhang is a Chinese business executive best known for leading Alibaba Group through a major period of global expansion and for creating the Singles’ Day shopping festival.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80bf6b8081909b98762b1f900bef |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7f19ba08190a08cf5aea522c021 |
completed | April 2, 2026, 3:52 a.m. |
Created at: March 30, 2026, 6:01 p.m.