Triple
T13613935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi Girl |
E325262
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Adam Shoenfeld |
E1052850
|
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: Adam Shoenfeld | Statement: [Mississippi Girl, composer, Adam Shoenfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Shoenfeld Context triple: [Mississippi Girl, composer, Adam Shoenfeld]
-
A.
Adam Shoenfeld
chosen
Adam Shoenfeld is an American country music songwriter and guitarist known for his work on numerous Nashville recordings.
-
B.
Zerach Warhaftig
Zerach Warhaftig was an Israeli religious Zionist politician, jurist, and signatory of the Israeli Declaration of Independence who served for many years as a Knesset member and government minister.
-
C.
Uriel Weinreich
Uriel Weinreich was a prominent linguist known for his pioneering work in Yiddish studies, language contact, and sociolinguistics.
-
D.
Joseph Steinberg
Joseph Steinberg is a cybersecurity expert and author known for his work on information security, privacy, and emerging technologies.
-
E.
Martin Elfand
Martin Elfand is an American film producer best known for his work on the acclaimed 1975 crime drama "Dog Day Afternoon."
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0abe1208190a1e0a32dc141d836 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7942e8c9c8190ab843cc4c31f512a |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:50 p.m.