Triple
T14190410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahlon Sweet |
E351696
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sweet |
E505099
|
NE FINISHED |
How this triple was built (2 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: Sweet | Statement: [Mahlon Sweet, familyName, Sweet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweet Context triple: [Mahlon Sweet, familyName, Sweet]
-
A.
Sweet
chosen
Sweet is a surname most notably associated with Ossian Sweet, an African American physician whose 1925 trial became a landmark case in the fight against racial housing segregation in the United States.
-
B.
Sweetener
Sweetener is Ariana Grande's critically acclaimed fourth studio album, noted for its blend of pop and R&B with innovative production and themes of healing and empowerment.
-
C.
Sweeter
"Sweeter" is a soulful pop-rock song by American singer-songwriter Gavin DeGraw, known for its catchy melody and emotionally charged lyrics.
-
D.
Sweeter
"Sweeter" is a studio album by American singer-songwriter Gavin DeGraw that blends pop, soul, and rock influences.
-
E.
Sweetness
Sweetness is a novel by Swedish author Torgny Lindgren, known for its darkly comic, allegorical exploration of human frailty and moral decay in a rural setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194543f081909cb11cf0881afa90 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:03 a.m.