Triple
T13938850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Harris III |
E335186
|
entity |
| Predicate | notableSongWritten |
P8087
|
FINISHED |
| Object | “Miss You Much” |
E67132
|
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: “Miss You Much” | Statement: [James Harris III, notableSongWritten, “Miss You Much”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Miss You Much” Context triple: [James Harris III, notableSongWritten, “Miss You Much”]
-
A.
Miss You Much
chosen
"Miss You Much" is a 1989 dance-pop and R&B single by Janet Jackson, known for its iconic choreography and status as one of her signature hits.
-
B.
“I’m Gonna Miss You”
“I’m Gonna Miss You” is an R&B song written and produced by Shep Crawford, known for its emotive lyrics and soulful arrangement.
-
C.
“Fallin’ for You”
“Fallin’ for You” is an R&B song written and produced by Shep Crawford, best known for its smooth, emotive style and soulful vocal delivery.
-
D.
“Stay With Me”
“Stay With Me” is an emotional ballad from Stephen Sondheim’s musical *Into the Woods*, sung by the Witch as she pleads with Rapunzel not to leave her.
-
E.
"I Love You More"
"I Love You More" is the theme song used in the American comedy television series *The Sarah Silverman Program*.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf5cc8c8190bea74291702b2925 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce89d2348190b5a50376c2b8248c |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.