Triple
T11899814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Feeling |
E283119
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Seth Ennis
Seth Ennis is an American country singer-songwriter known for his heartfelt lyrics and melodic, contemporary sound.
|
E953609
|
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: Seth Ennis | Statement: [This Feeling, writer, Seth Ennis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seth Ennis Context triple: [This Feeling, writer, Seth Ennis]
-
A.
Seth Numrich
Seth Numrich is an American actor known for his work on stage and screen, including a prominent role in the historical drama series "Turn: Washington's Spies."
-
B.
Seth Lochhead
Seth Lochhead is a Canadian screenwriter best known for co-writing the action thriller film "Hanna" (2011).
-
C.
Seth Cosentino
Seth Cosentino, better known professionally as Seth Gabel, is an American actor recognized for his roles in television series such as "Fringe" and "Salem."
-
D.
Seth Frank
Seth Frank is a fictional Washington, D.C. police detective featured in David Baldacci’s political thriller novel "Absolute Power."
-
E.
Seth Hurwitz
Seth Hurwitz is a prominent Washington, D.C.-based concert promoter and co-owner of I.M.P., known for operating major music venues such as the 9:30 Club and The Anthem.
- 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: Seth Ennis Triple: [This Feeling, writer, Seth Ennis]
Generated description
Seth Ennis is an American country singer-songwriter known for his heartfelt lyrics and melodic, contemporary sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seth Ennis Target entity description: Seth Ennis is an American country singer-songwriter known for his heartfelt lyrics and melodic, contemporary sound.
-
A.
Seth Numrich
Seth Numrich is an American actor known for his work on stage and screen, including a prominent role in the historical drama series "Turn: Washington's Spies."
-
B.
Seth Lochhead
Seth Lochhead is a Canadian screenwriter best known for co-writing the action thriller film "Hanna" (2011).
-
C.
Seth Cosentino
Seth Cosentino, better known professionally as Seth Gabel, is an American actor recognized for his roles in television series such as "Fringe" and "Salem."
-
D.
Seth Frank
Seth Frank is a fictional Washington, D.C. police detective featured in David Baldacci’s political thriller novel "Absolute Power."
-
E.
Seth Hurwitz
Seth Hurwitz is a prominent Washington, D.C.-based concert promoter and co-owner of I.M.P., known for operating major music venues such as the 9:30 Club and The Anthem.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd16433881909befca9774bdaab4 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4182f18c08190b22706b024d60dd7 |
completed | May 1, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_69f41f1c21388190b6ecb0fd602abb7d |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4228a73708190a6d2db321e175921 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.