Triple
T7342854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love You |
E169299
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Toni Estes |
E226410
|
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: Toni Estes | Statement: [I Love You, writer, Toni Estes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Estes Context triple: [I Love You, writer, Toni Estes]
-
A.
Toni Estes
chosen
Toni Estes is an American R&B singer and songwriter known for her work in the late 1990s and early 2000s, including collaborations with prominent artists and contributions to contemporary R&B tracks.
-
B.
Connie Snyder
Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
-
C.
Christine Weiss
Christine Weiss is known as the wife of French politician Gérard Larcher, longtime President of the French Senate.
-
D.
Corrine Mackey
Corrine Mackey is a central character in the crime drama television series "The Shield," known as the wife of corrupt detective Vic Mackey and a key figure in his personal and moral conflicts.
-
E.
Lori Trahan
Lori Trahan is a Democratic U.S. Representative from Massachusetts known for her work on issues such as healthcare, education, and campaign finance reform.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0db2db8819088c4bed5d65571f6 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa8a2a908190886e11a7d8df6c5e |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:04 p.m.