Triple
T19412338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thelma Schoonmaker |
E485617
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Schoonmaker |
—
|
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: Schoonmaker | Statement: [Thelma Schoonmaker, hasFamilyName, Schoonmaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schoonmaker Context triple: [Thelma Schoonmaker, hasFamilyName, Schoonmaker]
-
A.
Schoonmaker
chosen
Schoonmaker is a Dutch-origin surname most notably borne by acclaimed film editor Thelma Schoonmaker.
-
B.
Shoemaker
Shoemaker is a surname most famously associated with American geologist and astronomer Eugene Shoemaker, a pioneer of planetary science and co-discoverer of Comet Shoemaker–Levy 9.
-
C.
Bouwmeester
Bouwmeester is a Dutch-origin surname borne by various notable individuals, including professional ice hockey player Jay Bouwmeester.
-
D.
De Molenaar
De Molenaar is a Dutch surname, typically meaning “the miller,” associated with individuals or families historically linked to milling.
-
E.
Hollander
Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af77eb481909fcfb6cdde1e8580 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.