Triple
T11166330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiss Me More |
E264168
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tizhimself |
E908666
|
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: Tizhimself | Statement: [Kiss Me More, producer, Tizhimself]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tizhimself Context triple: [Kiss Me More, producer, Tizhimself]
-
A.
Tizhimself
chosen
Tizhimself is a music producer known for his work on the track "Streets."
-
B.
Our Very Own
"Our Very Own" is a 1950 American drama film starring Ann Blyth and Jane Wyatt that explores the emotional upheaval of a teenager who discovers she is adopted.
-
C.
Taznatit
Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
-
D.
By Myself
"By Myself" is a popular song by composer Arthur Schwartz and lyricist Howard Dietz, best known from its inclusion in the classic MGM musical film *The Band Wagon*.
-
E.
The Other Me
"The Other Me" is a melodic pop song by Paul McCartney from his 1983 album "Pipes of Peace."
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483747ba88190aa6ef9df2545b18b |
completed | April 19, 2026, 7:25 a.m. |
Created at: April 8, 2026, 9:29 p.m.