Triple
T1407595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Wahlberg |
E31728
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Ella Rae Wahlberg
Ella Rae Wahlberg is the eldest daughter of American actor and producer Mark Wahlberg and his wife Rhea Durham.
|
E164064
|
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: Ella Rae Wahlberg | Statement: [Mark Wahlberg, hasChild, Ella Rae Wahlberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ella Rae Wahlberg Context triple: [Mark Wahlberg, hasChild, Ella Rae Wahlberg]
-
A.
Piper Perabo
Piper Perabo is an American actress known for her roles in films like "Coyote Ugly" and the TV series "Covert Affairs."
-
B.
Holly Rae Taylor
Holly Rae Taylor is an American visual artist and the longtime partner of cartoonist and author Alison Bechdel.
-
C.
Kaitlin Olson
Kaitlin Olson is an American actress and comedian best known for playing Dee Reynolds on the long-running sitcom "It's Always Sunny in Philadelphia."
-
D.
Sofia Richie
Sofia Richie is an American model and social media personality known for her fashion work with major brands and her presence in celebrity culture.
-
E.
Lily Aldridge
Lily Aldridge is an American fashion model best known for her work as a Victoria’s Secret Angel and appearances in major magazines such as the Sports Illustrated Swimsuit Issue.
- 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: Ella Rae Wahlberg Triple: [Mark Wahlberg, hasChild, Ella Rae Wahlberg]
Generated description
Ella Rae Wahlberg is the eldest daughter of American actor and producer Mark Wahlberg and his wife Rhea Durham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ella Rae Wahlberg Target entity description: Ella Rae Wahlberg is the eldest daughter of American actor and producer Mark Wahlberg and his wife Rhea Durham.
-
A.
Piper Perabo
Piper Perabo is an American actress known for her roles in films like "Coyote Ugly" and the TV series "Covert Affairs."
-
B.
Holly Rae Taylor
Holly Rae Taylor is an American visual artist and the longtime partner of cartoonist and author Alison Bechdel.
-
C.
Kaitlin Olson
Kaitlin Olson is an American actress and comedian best known for playing Dee Reynolds on the long-running sitcom "It's Always Sunny in Philadelphia."
-
D.
Sofia Richie
Sofia Richie is an American model and social media personality known for her fashion work with major brands and her presence in celebrity culture.
-
E.
Lily Aldridge
Lily Aldridge is an American fashion model best known for her work as a Victoria’s Secret Angel and appearances in major magazines such as the Sports Illustrated Swimsuit Issue.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad015839908190b7f9f6c79dcc0367 |
completed | March 8, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69ad029ff1848190a4c25325a68bd8b9 |
completed | March 8, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad030a31688190a5d5ef4a7f975e2e |
completed | March 8, 2026, 5:03 a.m. |
Created at: March 1, 2026, 7:59 p.m.