Triple
T9751494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groth |
E236451
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Taylor Groth
Taylor Groth is an individual notable enough to be specifically cited as a bearer of the surname Groth.
|
E818071
|
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: Taylor Groth | Statement: [Groth, hasNotableBearer, Taylor Groth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylor Groth Context triple: [Groth, hasNotableBearer, Taylor Groth]
-
A.
Helena Christensen
Helena Christensen is a Danish supermodel and photographer who rose to international fame in the 1990s, notably as a Victoria’s Secret Angel and a prominent fashion campaign star.
-
B.
Natassia Malthe
Natassia Malthe is a Norwegian-Canadian actress and model known for her roles in action and fantasy films and television series.
-
C.
Isabelle Arestrup
Isabelle Arestrup is known as the wife of acclaimed French actor and filmmaker Niels Arestrup.
-
D.
Rooney Mara
Rooney Mara is an American actress known for her acclaimed performances in films such as "The Girl with the Dragon Tattoo" and "Carol."
-
E.
Autumn de Wilde
Autumn de Wilde is an American photographer and director known for her distinctive portraits of musicians and her work on album covers and music-related visual art.
- 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: Taylor Groth Triple: [Groth, hasNotableBearer, Taylor Groth]
Generated description
Taylor Groth is an individual notable enough to be specifically cited as a bearer of the surname Groth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taylor Groth Target entity description: Taylor Groth is an individual notable enough to be specifically cited as a bearer of the surname Groth.
-
A.
Helena Christensen
Helena Christensen is a Danish supermodel and photographer who rose to international fame in the 1990s, notably as a Victoria’s Secret Angel and a prominent fashion campaign star.
-
B.
Natassia Malthe
Natassia Malthe is a Norwegian-Canadian actress and model known for her roles in action and fantasy films and television series.
-
C.
Isabelle Arestrup
Isabelle Arestrup is known as the wife of acclaimed French actor and filmmaker Niels Arestrup.
-
D.
Rooney Mara
Rooney Mara is an American actress known for her acclaimed performances in films such as "The Girl with the Dragon Tattoo" and "Carol."
-
E.
Autumn de Wilde
Autumn de Wilde is an American photographer and director known for her distinctive portraits of musicians and her work on album covers and music-related visual art.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9facd5b881909f0569b23f308815 |
completed | April 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b020829481908456e7977c5f9adb |
completed | April 5, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d1b0dde93881908fcec28de9cfa99d |
completed | April 5, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b1bbe6108190af17b75f79c0f465 |
completed | April 5, 2026, 12:50 a.m. |
Created at: March 30, 2026, 8:24 p.m.