Triple
T11614062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Acker |
E275459
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ackers |
E275459
|
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: Ackers | Statement: [Jean Acker, familyName, Ackers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ackers Context triple: [Jean Acker, familyName, Ackers]
-
A.
Ackers
chosen
Ackers is the family name of Jean Acker, an early 20th-century American film actress known for her work in silent cinema.
-
B.
Ackers
Ackers is a surname of English origin borne by various individuals and families.
-
C.
Ackerley
Ackerley is an English surname most notably associated with the writer and editor J. R. Ackerley.
-
D.
Akers
Akers is the surname of Michelle Akers, a legendary American soccer player widely regarded as one of the greatest in women’s football history.
-
E.
Acker
Acker is a surname of German origin that is a variant of the name Ackers.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a044a3088190b92f4674c2d0b443 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee872ee03481908a9d779a44ec5236 |
completed | April 26, 2026, 9:44 p.m. |
Created at: April 8, 2026, 9:38 p.m.