Triple
T22388503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert M. Kligman |
E553456
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kligman |
—
|
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: Kligman | Statement: [Albert M. Kligman, familyName, Kligman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kligman Context triple: [Albert M. Kligman, familyName, Kligman]
-
A.
Almay
Almay is a cosmetics and skincare brand known for its hypoallergenic, dermatologist-tested products designed for sensitive skin.
-
B.
Afzelius
Afzelius refers to Adam Afzelius, an 18th–19th century Swedish botanist and naturalist known for his taxonomic work and contributions to the study of West African flora and fauna.
-
C.
Albert M. Kligman
chosen
Albert M. Kligman was an American dermatologist notorious for conducting ethically controversial and non-consensual human experiments on prisoners and other vulnerable populations in the mid-20th century.
-
D.
Jergens
Jergens is a surname most notably associated with American actress Diane Jergens.
-
E.
Jouvenet
Jouvenet is a French surname historically associated with several notable artists and craftsmen, particularly during the 17th and 18th centuries.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15858c13c819098fe66a50ecea7d7 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.