Triple
T7049758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Hepburn Ferrer |
E163733
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object |
Emma Ferrer
Emma Ferrer is a Swiss-born artist, model, and humanitarian, best known as the granddaughter of iconic actress Audrey Hepburn.
|
E639413
|
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: Emma Ferrer | Statement: [Sean Hepburn Ferrer, parentOf, Emma Ferrer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Ferrer Context triple: [Sean Hepburn Ferrer, parentOf, Emma Ferrer]
-
A.
María Navarro
María Navarro is a Spanish-language given name and surname combination shared by various notable figures in fields such as politics, academia, and the arts.
-
B.
Carmen Valverde
Carmen Valverde was the wife of Venezuelan statesman and two-time president Rómulo Betancourt.
-
C.
Carmen Rabassa
Carmen Rabassa is known primarily as the wife of acclaimed American literary translator Gregory Rabassa.
-
D.
Carmen Laffón
Carmen Laffón was a renowned Spanish painter and sculptor known for her poetic, introspective landscapes and intimate figurative works.
-
E.
Maribel Verdú
Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
- 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: Emma Ferrer Triple: [Sean Hepburn Ferrer, parentOf, Emma Ferrer]
Generated description
Emma Ferrer is a Swiss-born artist, model, and humanitarian, best known as the granddaughter of iconic actress Audrey Hepburn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Ferrer Target entity description: Emma Ferrer is a Swiss-born artist, model, and humanitarian, best known as the granddaughter of iconic actress Audrey Hepburn.
-
A.
María Navarro
María Navarro is a Spanish-language given name and surname combination shared by various notable figures in fields such as politics, academia, and the arts.
-
B.
Carmen Valverde
Carmen Valverde was the wife of Venezuelan statesman and two-time president Rómulo Betancourt.
-
C.
Carmen Rabassa
Carmen Rabassa is known primarily as the wife of acclaimed American literary translator Gregory Rabassa.
-
D.
Carmen Laffón
Carmen Laffón was a renowned Spanish painter and sculptor known for her poetic, introspective landscapes and intimate figurative works.
-
E.
Maribel Verdú
Maribel Verdú is a Spanish actress acclaimed for her work in films such as "Pan’s Labyrinth" and "Y Tu Mamá También."
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e24d5e8c8190b37e56107e6da8ab |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7888bba9c8190b6414b56e5588ec0 |
completed | March 28, 2026, 7:51 a.m. |
| NEDg | Description generation | batch_69c788f292a08190bf3543ecfc245d12 |
completed | March 28, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c789a6ea988190ad2db2442f0a5e8f |
completed | March 28, 2026, 7:56 a.m. |
Created at: March 27, 2026, 2:37 p.m.