Triple
T23179383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is for the Lover in You |
E579110
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Jeffrey Daniel |
—
|
NE NERFINISHED |
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: Jeffrey Daniel | Statement: [This Is for the Lover in You, performer, Jeffrey Daniel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Daniel Context triple: [This Is for the Lover in You, performer, Jeffrey Daniel]
-
A.
Jeffrey Daniel
chosen
Jeffrey Daniel is an American dancer and choreographer best known as a member of the R&B group Shalamar and for popularizing the backslide (later known as the moonwalk), influencing Michael Jackson’s dance style.
-
B.
Jeffrey Stephen
Jeffrey Stephen is a film editor known for his work on the movie "Just Friends."
-
C.
Jeffrey Heath
Jeffrey Heath is a linguist renowned for his extensive fieldwork and documentation of Dogon and other African languages.
-
D.
Jeffrey Byron
Jeffrey Byron is an American actor known for his work in film and television since the 1960s, including roles in genre and action productions.
-
E.
Jeffrey Raymond
Jeffrey Raymond is best known as the former husband of Polish-Swedish actress and model Izabella Scorupco.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6dad948190a64f80f2c9e8e4cb |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.