Triple
T15950450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feels Good |
E386801
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Carl Wheeler
Carl Wheeler is a songwriter best known for his work on the track "Feels Good."
|
E1193897
|
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: Carl Wheeler | Statement: [Feels Good, writer, Carl Wheeler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Wheeler Context triple: [Feels Good, writer, Carl Wheeler]
-
A.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
B.
Matt Wheeler
Matt Wheeler is a television writer and producer best known for creating the science fiction drama series "Salvation."
-
C.
Frank Wheeler
Frank Wheeler is the disillusioned suburban husband and central protagonist of Richard Yates’s novel "Revolutionary Road," whose failed dreams and marital tensions embody mid-20th-century American malaise.
-
D.
Frank Wheeler
Frank Wheeler is the young protagonist of the 1994 family comedy film "Milk Money," whose scheme to hire a prostitute with his friends leads to unexpected romantic and comedic complications.
-
E.
Mike Wheeler
Mike Wheeler is a central character in the sci-fi horror series "Stranger Things," known as a loyal, determined member of the core friend group who helps confront supernatural threats in the town of Hawkins.
- 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: Carl Wheeler Triple: [Feels Good, writer, Carl Wheeler]
Generated description
Carl Wheeler is a songwriter best known for his work on the track "Feels Good."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Wheeler Target entity description: Carl Wheeler is a songwriter best known for his work on the track "Feels Good."
-
A.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
B.
Matt Wheeler
Matt Wheeler is a television writer and producer best known for creating the science fiction drama series "Salvation."
-
C.
Frank Wheeler
Frank Wheeler is the disillusioned suburban husband and central protagonist of Richard Yates’s novel "Revolutionary Road," whose failed dreams and marital tensions embody mid-20th-century American malaise.
-
D.
Frank Wheeler
Frank Wheeler is the young protagonist of the 1994 family comedy film "Milk Money," whose scheme to hire a prostitute with his friends leads to unexpected romantic and comedic complications.
-
E.
Mike Wheeler
Mike Wheeler is a central character in the sci-fi horror series "Stranger Things," known as a loyal, determined member of the core friend group who helps confront supernatural threats in the town of Hawkins.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d4c5008190a56ebf8c28f712dc |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb82a29081909ef0e2685d0705c3 |
completed | May 10, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69ffec4898088190bed531e33418c7e5 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecce96508190a53f100e3207ebac |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 4:53 a.m.