Triple
T11899895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Do You Love |
E283121
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jordan Johnson |
E664092
|
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: Jordan Johnson | Statement: [Who Do You Love, writer, Jordan Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordan Johnson Context triple: [Who Do You Love, writer, Jordan Johnson]
-
A.
Jordan Johnson
chosen
Jordan Johnson is a writer known for authoring the work titled "Daisies."
-
B.
Jordan Johnson
Jordan Johnson is a music producer best known for his work with the electronic music act Sick Boy.
-
C.
Christopher Johnson
Christopher Johnson is the intelligent and resourceful alien "prawn" who leads the effort to escape Earth in the science fiction film District 9.
-
D.
Christopher Johnson
Christopher Johnson is an American businessman and member of the Johnson family who serves as a principal owner and executive of the New York Jets NFL franchise.
-
E.
Jeffrey Gaines
Jeffrey Gaines is an American singer-songwriter and guitarist known for his emotive vocal style and acoustic rock performances.
- 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_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_69f4586898888190b58e3102d7edf7df |
completed | May 1, 2026, 7:38 a.m. |
Created at: April 8, 2026, 9:44 p.m.