Triple
T3651401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapestry |
E77424
|
entity |
| Predicate | lyricsBy |
P1141
|
FINISHED |
| Object |
Toni Stern
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."
|
E374812
|
NE FINISHED |
How this triple was built (4 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, lyricsBy, Toni Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Stern Context triple: [Tapestry, lyricsBy, Toni Stern]
-
A.
Michael Feld
Michael Feld was an American physicist and MIT professor known for his pioneering work in laser spectroscopy and biophysics.
-
B.
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.
-
C.
Tom Stern
Tom Stern is an American cinematographer best known for his frequent collaborations with director Clint Eastwood on numerous acclaimed films.
-
D.
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.
-
E.
Andrew Singer
Andrew Singer is a television producer best known for his executive production work on the satirical sketch comedy series "Portlandia."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Toni Stern Triple: [Tapestry, lyricsBy, Toni Stern]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toni Stern Target entity description: 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."
-
A.
Michael Feld
Michael Feld was an American physicist and MIT professor known for his pioneering work in laser spectroscopy and biophysics.
-
B.
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.
-
C.
Tom Stern
Tom Stern is an American cinematographer best known for his frequent collaborations with director Clint Eastwood on numerous acclaimed films.
-
D.
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.
-
E.
Andrew Singer
Andrew Singer is a television producer best known for his executive production work on the satirical sketch comedy series "Portlandia."
- F. None of above. chosen
Provenance (5 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_69adc39303bc819090725643e53a96d6 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f435c088190976c1dab165665f1 |
completed | March 13, 2026, 5:54 p.m. |
| NEDg | Description generation | batch_69b44fd80f408190a0fd4d663dbfb094 |
completed | March 13, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4504126c081909cbdc952f7e1e400 |
completed | March 13, 2026, 5:58 p.m. |
Created at: March 8, 2026, 3:24 p.m.