Triple
T14496605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerome Hellman |
E359516
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hellman |
E9067
|
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: Hellman | Statement: [Jerome Hellman, familyName, Hellman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellman Context triple: [Jerome Hellman, familyName, Hellman]
-
A.
Hellman
Hellman is a character from the 1973 film "Oklahoma Crude," a Western comedy-drama about an independent oil driller battling powerful corporate interests.
-
B.
Hellman
chosen
Hellman is a surname most notably associated with Martin Hellman, the American cryptologist and co-inventor of the Diffie–Hellman key exchange.
-
C.
Hellman & Friedman
Hellman & Friedman is a San Francisco–based private equity firm known for large-scale investments in technology, financial services, and other sectors.
-
D.
Hennacy
Hennacy is a surname most notably associated with Ammon Hennacy, an American Christian anarchist, pacifist, and social activist.
-
E.
Judith Hellman
Judith Hellman is one of the children of the late American financier and philanthropist Warren Hellman, known for his investments and major cultural and charitable contributions, particularly in San Francisco.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9731588190b27a826582e5fc6d |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.