Triple
T3555935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelsey Grammer |
E75218
|
entity |
| Predicate | televisionSeries |
P3279
|
FINISHED |
| Object | Back to You |
E353454
|
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: Back to You | Statement: [Kelsey Grammer, televisionSeries, Back to You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Back to You Context triple: [Kelsey Grammer, televisionSeries, Back to You]
-
A.
Back to You
chosen
"Back to You" is an American sitcom that aired in the late 2000s, starring Kelsey Grammer and Patricia Heaton as reunited local news anchors.
-
B.
Back to Love
"Back to Love" is a song featured on John Legend's album "All of Me."
-
C.
There You'll Be
"There You'll Be" is a power ballad by American country-pop singer Faith Hill, best known as the theme song from the 2001 film Pearl Harbor and one of her signature hits.
-
D.
For You
"For You" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its vivid storytelling and emotional intensity.
-
E.
For You I Will
"For You I Will" is an R&B ballad by American singer Monica, best known for its appearance on the soundtrack of the 1996 film *Space Jam* and for becoming one of her signature hits.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0569fbc81909b855b6990c1415b |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bf40dac8190837053dd315303af |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.