Triple
T3651523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantasy |
E77426
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Toni Stern |
E374812
|
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: Toni Stern | Statement: [Fantasy, lyricist, Toni Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Stern Context triple: [Fantasy, lyricist, Toni Stern]
-
A.
Toni Stern
chosen
Toni Stern is an American lyricist best known for co-writing several of Carole King’s classic songs, including major tracks on the landmark album "Tapestry."
-
B.
Michael Feld
Michael Feld was an American physicist and MIT professor known for his pioneering work in laser spectroscopy and biophysics.
-
C.
Allan Felder
Allan Felder was an American songwriter and producer best known for his work in 1970s soul and R&B, particularly with the Philadelphia soul sound.
-
D.
Tom Stern
Tom Stern is an American cinematographer best known for his frequent collaborations with director Clint Eastwood on numerous acclaimed films.
-
E.
Marshall Rose
Marshall Rose is a wealthy New York real estate developer and philanthropist known for his work in high-end property and arts patronage.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b664448190986b5223d59de282 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488394aa48190b91985aa912cf733 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:24 p.m.