Triple
T7366726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Aptheker |
E169887
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Aptheker |
E31496
|
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: Aptheker | Statement: [Herbert Aptheker, familyName, Aptheker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aptheker Context triple: [Herbert Aptheker, familyName, Aptheker]
-
A.
Aptheker
chosen
Aptheker is the surname of a family notably associated with American Marxist historians and political activists, including Bettina Aptheker.
-
B.
Benjamin Eichelbaum
Benjamin Eichelbaum is the son of film mogul Jack Warner, co-founder of Warner Bros.
-
C.
Arthur Friedheim
Arthur Friedheim was a prominent late 19th- and early 20th-century pianist and conductor, best known as one of Franz Liszt’s leading students and interpreters.
-
D.
Herschel Weingrod
Herschel Weingrod is an American screenwriter best known for co-writing popular 1980s and 1990s comedies such as "Trading Places," "Twins," and "Kindergarten Cop."
-
E.
Poppy Adams
Poppy Adams is the main antagonist and ruthless drug cartel leader in the film "Kingsman: The Golden Circle."
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17ea0608190955ac3474f6da7bb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802bc25908190ad444de63b7526a0 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:06 p.m.