Triple
T7746959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Hunt |
E175654
|
entity |
| Predicate | romanticPartner |
P9994
|
FINISHED |
| Object |
Emma Marling
Emma Marling is a pediatric surgeon on the television series "Grey's Anatomy" who briefly dates Owen Hunt.
|
E686865
|
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 Marling | Statement: [Owen Hunt, romanticPartner, Emma Marling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Marling Context triple: [Owen Hunt, romanticPartner, Emma Marling]
-
A.
Cecilia Hart
Cecilia Hart was an American actress known for her work on stage and screen and for her longtime marriage to actor James Earl Jones.
-
B.
Emma Pritchard
Emma Pritchard is an actress known for her role in the romantic comedy film "The Holiday."
-
C.
Rebecca Yeldham
Rebecca Yeldham is a film producer known for her work on acclaimed independent and international films, including the adaptation of "The Kite Runner."
-
D.
Lucy Marlow
Lucy Marlow was an American film and television actress of the 1950s, known for supporting roles in Hollywood productions including the musical drama "A Star Is Born."
-
E.
Kate Norley
Kate Norley is an American Iraq War veteran and veterans’ rights advocate who served as a U.S. Army combat medic and is married to comedian and television host John Oliver.
- 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 Marling Triple: [Owen Hunt, romanticPartner, Emma Marling]
Generated description
Emma Marling is a pediatric surgeon on the television series "Grey's Anatomy" who briefly dates Owen Hunt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Marling Target entity description: Emma Marling is a pediatric surgeon on the television series "Grey's Anatomy" who briefly dates Owen Hunt.
-
A.
Cecilia Hart
Cecilia Hart was an American actress known for her work on stage and screen and for her longtime marriage to actor James Earl Jones.
-
B.
Emma Pritchard
Emma Pritchard is an actress known for her role in the romantic comedy film "The Holiday."
-
C.
Rebecca Yeldham
Rebecca Yeldham is a film producer known for her work on acclaimed independent and international films, including the adaptation of "The Kite Runner."
-
D.
Lucy Marlow
Lucy Marlow was an American film and television actress of the 1950s, known for supporting roles in Hollywood productions including the musical drama "A Star Is Born."
-
E.
Kate Norley
Kate Norley is an American Iraq War veteran and veterans’ rights advocate who served as a U.S. Army combat medic and is married to comedian and television host John Oliver.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7038caa64819084f61b42a73c2d8b |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7c63c688190ac257a738759d59f |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c82f8f248190b0fc882b6c4c0554 |
completed | March 29, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8c516048190957d937f2f2273ad |
completed | March 29, 2026, 6:37 a.m. |
Created at: March 27, 2026, 4:08 p.m.