Triple
T9095035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionne Warwick |
E217995
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Message to Michael |
E154014
|
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: Message to Michael | Statement: [Dionne Warwick, notableWork, Message to Michael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Message to Michael Context triple: [Dionne Warwick, notableWork, Message to Michael]
-
A.
Message to Michael
chosen
"Message to Michael" is a 1966 pop song made famous by American singer Dionne Warwick, showcasing her smooth vocal style and Burt Bacharach–Hal David songwriting.
-
B.
Michael’s
Michael’s is a national arts and crafts retail chain known for selling hobby supplies, home décor, and DIY project materials.
-
C.
My Michael
"My Michael" is a renowned novel by Israeli author Amos Oz that explores a troubled marriage and personal disillusionment in 1950s Jerusalem.
-
D.
Mensagem
Mensagem is a seminal poetry collection by Portuguese writer Fernando Pessoa that reflects on Portugal’s history, identity, and mythic destiny.
-
E.
Micheal
Micheal is a given name, typically a variant spelling of the more common name Michael.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b4a2e0819092f4eae8b1d21f33 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0180f70b88190a2d3dc49f32f0c2e |
completed | April 3, 2026, 7:42 p.m. |
Created at: March 30, 2026, 7:14 p.m.