Triple
T3585599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilia Fox |
E75900
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Rose Gilley
Rose Gilley is the daughter of English actress Emilia Fox.
|
E591168
|
NE FINISHED |
How this triple was built (4 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 Gilley | Statement: [Emilia Fox, hasChild, Rose Gilley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rose Gilley Context triple: [Emilia Fox, hasChild, Rose Gilley]
-
A.
Julie Gardner
Julie Gardner is a Welsh television producer best known for her pivotal role in reviving and executive producing the modern era of Doctor Who and its spin-offs.
-
B.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
C.
Glena Goranson
Glena Goranson is the longtime wife of NFL coach Pete Carroll, known for her low public profile despite her husband’s high-profile football career.
-
D.
Rose Mary Harbison
Rose Mary Harbison is an American violinist and educator known for her performances, teaching, and long association with composer John Harbison.
-
E.
Rose Diane Ladner
Rose Diane Ladner is the birth name of American actress Diane Ladd, known for her acclaimed film and television roles and multiple award nominations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rose Gilley Triple: [Emilia Fox, hasChild, Rose Gilley]
Generated description
Rose Gilley is the daughter of English actress Emilia Fox.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rose Gilley Target entity description: Rose Gilley is the daughter of English actress Emilia Fox.
-
A.
Julie Gardner
Julie Gardner is a Welsh television producer best known for her pivotal role in reviving and executive producing the modern era of Doctor Who and its spin-offs.
-
B.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
C.
Glena Goranson
Glena Goranson is the longtime wife of NFL coach Pete Carroll, known for her low public profile despite her husband’s high-profile football career.
-
D.
Rose Mary Harbison
Rose Mary Harbison is an American violinist and educator known for her performances, teaching, and long association with composer John Harbison.
-
E.
Rose Diane Ladner
Rose Diane Ladner is the birth name of American actress Diane Ladd, known for her acclaimed film and television roles and multiple award nominations.
- F. None of above. chosen
Provenance (5 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc135ee3481908ef8dc41af632710 |
completed | March 8, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638403d608190b9e4ff5bded68845 |
completed | March 27, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69c63c4b8a448190ac3018522ed4ac8d |
completed | March 27, 2026, 8:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63cad6d788190949f6165037cd61d |
completed | March 27, 2026, 8:15 a.m. |
Created at: March 8, 2026, 3:22 p.m.