Triple
T2693792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gavin DeGraw |
E58464
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
DeGraw
DeGraw is the surname of American singer-songwriter Gavin DeGraw, known for his pop-rock hits like "I Don't Want to Be."
|
E290009
|
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: DeGraw | Statement: [Gavin DeGraw, familyName, DeGraw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeGraw Context triple: [Gavin DeGraw, familyName, DeGraw]
-
A.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
B.
Dwighty
Dwighty is a fan nickname for Dwight Fairfield, a nervous but resourceful survivor character from the horror game Dead by Daylight.
-
C.
Snodgrass
Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
-
D.
Graham
Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
-
E.
Graham
Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
- 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: DeGraw Triple: [Gavin DeGraw, familyName, DeGraw]
Generated description
DeGraw is the surname of American singer-songwriter Gavin DeGraw, known for his pop-rock hits like "I Don't Want to Be."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DeGraw Target entity description: DeGraw is the surname of American singer-songwriter Gavin DeGraw, known for his pop-rock hits like "I Don't Want to Be."
-
A.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
B.
Dwighty
Dwighty is a fan nickname for Dwight Fairfield, a nervous but resourceful survivor character from the horror game Dead by Daylight.
-
C.
Snodgrass
Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
-
D.
Graham
Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
-
E.
Graham
Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0f43b08190a5abd936b14603b7 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf6501088190b8fe1ba8de4f6e00 |
completed | March 10, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69afb039cdcc8190953368c1f6757503 |
completed | March 10, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb0c27ee48190a319fd2fab02f755 |
completed | March 10, 2026, 5:48 a.m. |
Created at: March 6, 2026, 9:54 p.m.