Triple
T7987040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curtains |
E185706
|
entity |
| Predicate | originalBroadwayStar |
P4737
|
FINISHED |
| Object |
Jason Danieley
Jason Danieley is an American musical theatre actor and singer known for his acclaimed performances on Broadway and in concert.
|
E707892
|
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: Jason Danieley | Statement: [Curtains, originalBroadwayStar, Jason Danieley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason Danieley Context triple: [Curtains, originalBroadwayStar, Jason Danieley]
-
A.
Justin Hartley
Justin Hartley is an American actor best known for his television roles in series such as "This Is Us," "Smallville," and "The Young and the Restless."
-
B.
Dustin Milligan
Dustin Milligan is a Canadian actor best known for his roles in the TV series 90210 and the comedy Schitt's Creek.
-
C.
Scott Oake
Scott Oake is a Canadian sportscaster best known for his long-running work as a rinkside reporter and host on national hockey broadcasts.
-
D.
Dylan Walsh
Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
-
E.
Tyler Hoechlin
Tyler Hoechlin is an American actor best known for roles such as Derek Hale on "Teen Wolf" and Superman/Clark Kent in the Arrowverse series.
- 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: Jason Danieley Triple: [Curtains, originalBroadwayStar, Jason Danieley]
Generated description
Jason Danieley is an American musical theatre actor and singer known for his acclaimed performances on Broadway and in concert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jason Danieley Target entity description: Jason Danieley is an American musical theatre actor and singer known for his acclaimed performances on Broadway and in concert.
-
A.
Justin Hartley
Justin Hartley is an American actor best known for his television roles in series such as "This Is Us," "Smallville," and "The Young and the Restless."
-
B.
Dustin Milligan
Dustin Milligan is a Canadian actor best known for his roles in the TV series 90210 and the comedy Schitt's Creek.
-
C.
Scott Oake
Scott Oake is a Canadian sportscaster best known for his long-running work as a rinkside reporter and host on national hockey broadcasts.
-
D.
Dylan Walsh
Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
-
E.
Tyler Hoechlin
Tyler Hoechlin is an American actor best known for roles such as Derek Hale on "Teen Wolf" and Superman/Clark Kent in the Arrowverse series.
- 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_69ca829a2cfc819083d591d58ec04075 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4d11b08190aa13afb17155462c |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc568393008190b8ff6cc17f9b5c46 |
completed | March 31, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69cc58a8f3d08190bec84dc1ba3b5b84 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cb2963c81908a8dfbb1f84845bc |
completed | March 31, 2026, 11:45 p.m. |
Created at: March 30, 2026, 5:15 p.m.