Triple
T9724956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Smith |
E235584
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Rose Smith |
E235520
|
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: Rose Smith | Statement: [Esther Smith, hasSibling, Rose Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Smith Context triple: [Esther Smith, hasSibling, Rose Smith]
-
A.
Rose Smith
chosen
Rose Smith is a central daughter in the Smith family and a romantic lead in the classic 1944 MGM musical film "Meet Me in St. Louis."
-
B.
Renée Felice Smith
Renée Felice Smith is an American actress best known for her longtime role as intelligence analyst Nell Jones on the television series NCIS: Los Angeles.
-
C.
Karen Smith
Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
-
D.
Karen Smith
Karen Smith is a naive and dim-witted but sweet member of the high school clique "The Plastics" in the teen comedy film Mean Girls.
-
E.
Rose Matthews
Rose Matthews is the daughter of English socialite and author Pippa Middleton and her husband James Matthews.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7838448190a7b5b259765a0d95 |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5561714a081909cbf1cc7d5d0ac0a |
completed | April 19, 2026, 10:24 p.m. |
Created at: March 30, 2026, 8:21 p.m.