Triple
T15595743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapestry |
E374886
|
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: [Tapestry, lyricist, Toni Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Stern Context triple: [Tapestry, 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 Stern
Michael Stern is an American conductor best known for his long tenure leading the Kansas City Symphony and for his work with major orchestras in the United States and abroad.
-
C.
Michael Stern
Michael Stern is an American philanthropist and real estate developer best known for founding New York City's Intrepid Sea, Air & Space Museum.
-
D.
Jonathan Stern
Jonathan Stern is an American film and television producer best known for his work on offbeat comedies such as "Wet Hot American Summer" and various projects for Adult Swim and streaming platforms.
-
E.
Anna Scher
Anna Scher is a British drama teacher and theatre director best known for founding the influential Anna Scher Theatre in London, which has trained many prominent actors.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff75655c948190aa1afa424e5270d1 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 4:12 a.m.