Triple
T9206863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Hill |
E221002
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Emma Hill |
E221002
|
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: Emma Hill | Statement: [Emma Hill, name, Emma Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Hill Context triple: [Emma Hill, name, Emma Hill]
-
A.
Emma Hill
chosen
Emma Hill is a central figure portrayed in Ford Madox Brown’s painting "The Last of England," serving as the model for the emigrant wife in this iconic Victorian artwork.
-
B.
Elizabeth Hill
Elizabeth Hill was the wife of acclaimed American film director King Vidor, associated with Hollywood's classic era.
-
C.
Rachel Hill
Rachel Hill is an American professional soccer forward known for her time with the Chicago Red Stars in the National Women's Soccer League.
-
D.
Amy Hill
Amy Hill is an American actress and comedian known for her character roles in film and television, including appearances in movies like "50 First Dates" and numerous TV series.
-
E.
Natalie Hillard
Natalie Hillard is the youngest daughter in the family at the center of the 1993 comedy film "Mrs. Doubtfire."
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b0b6788190908bee67a0c5d48f |
completed | April 1, 2026, 8:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110107c4c819091037d83362b0021 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:26 p.m.