Triple
T21336753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Guston |
E526068
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Goldstein |
—
|
NE NERFINISHED |
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: Goldstein | Statement: [Philip Guston, familyName, Goldstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goldstein Context triple: [Philip Guston, familyName, Goldstein]
-
A.
Goldstein
chosen
Goldstein is a common Ashkenazi Jewish surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
B.
Goldenthal
Goldenthal is a surname most notably associated with American composer Elliot Goldenthal, known for his innovative and eclectic film scores.
-
C.
Goldner
Goldner is a surname associated with individuals such as the Austrian-born American composer and conductor Ernest Gold.
-
D.
Goldston
Goldston is a small rural town located in Chatham County, North Carolina.
-
E.
Ohrenstein
Ohrenstein is a Central European Jewish surname historically borne by families such as that of Czech poet Jiří Orten.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e898d9413c8190a43a6b0c67d5fc5f |
completed | April 22, 2026, 9:46 a.m. |
Created at: April 16, 2026, 4:43 p.m.