Triple
T21899951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raffi Musiker |
E540781
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Michelle Hurd
Michelle Hurd is an American actress known for her work in television dramas and genre series, including a prominent role in the Star Trek franchise.
|
E1510498
|
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: Michelle Hurd | Statement: [Raffi Musiker, portrayedBy, Michelle Hurd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Hurd Context triple: [Raffi Musiker, portrayedBy, Michelle Hurd]
-
A.
Megan Hibbert
Megan Hibbert is a film producer and entrepreneur best known as the founder of the production company Fickle Fish Films.
-
B.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
-
C.
Kristen Dohring
Kristen Dohring is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
D.
Alli Larter
Ali Larter is an American actress and former model best known for her roles in the "Final Destination" films, the "Resident Evil" series, and the television show "Heroes."
-
E.
Julia Faye
Julia Faye was an American actress best known for her frequent collaborations with director Cecil B. DeMille during the silent and early sound film eras.
- 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: Michelle Hurd Triple: [Raffi Musiker, portrayedBy, Michelle Hurd]
Generated description
Michelle Hurd is an American actress known for her work in television dramas and genre series, including a prominent role in the Star Trek franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Hurd Target entity description: Michelle Hurd is an American actress known for her work in television dramas and genre series, including a prominent role in the Star Trek franchise.
-
A.
Megan Hibbert
Megan Hibbert is a film producer and entrepreneur best known as the founder of the production company Fickle Fish Films.
-
B.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
-
C.
Kristen Dohring
Kristen Dohring is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
D.
Alli Larter
Ali Larter is an American actress and former model best known for her roles in the "Final Destination" films, the "Resident Evil" series, and the television show "Heroes."
-
E.
Julia Faye
Julia Faye was an American actress best known for her frequent collaborations with director Cecil B. DeMille during the silent and early sound film eras.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fca2bf88190b2a5b912aa102513 |
completed | April 28, 2026, 8:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a66f8e4948190a20defbff6d86659 |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a6812112c81909844ab725dff79ed |
completed | May 18, 2026, 1:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a68846fb88190bbe1510608aa9468 |
completed | May 18, 2026, 1:16 a.m. |
Created at: April 16, 2026, 7:07 p.m.