Triple
T6124260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seymour Hersh |
E136556
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hersh
Hersh is the surname of Seymour Hersh, a prominent American investigative journalist known for exposing major political and military scandals.
|
E570501
|
NE FINISHED |
How this triple was built (4 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: Hersh | Statement: [Seymour Hersh, familyName, Hersh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hersh Context triple: [Seymour Hersh, familyName, Hersh]
-
A.
Hellman
Hellman is a surname most notably associated with Martin Hellman, the American cryptologist and co-inventor of the Diffie–Hellman key exchange.
-
B.
Heller
Heller is a surname shared by various notable individuals across fields such as film, literature, science, and politics.
-
C.
Heller
The Heller is a river in Germany that serves as a right-bank tributary of the Sieg.
-
D.
Hoffer
Hoffer is a surname most notably associated with Abram Hoffer, a Canadian psychiatrist known for his work in orthomolecular medicine and niacin therapy for mental illness.
-
E.
Joffe
Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hersh Triple: [Seymour Hersh, familyName, Hersh]
Generated description
Hersh is the surname of Seymour Hersh, a prominent American investigative journalist known for exposing major political and military scandals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hersh Target entity description: Hersh is the surname of Seymour Hersh, a prominent American investigative journalist known for exposing major political and military scandals.
-
A.
Hellman
Hellman is a surname most notably associated with Martin Hellman, the American cryptologist and co-inventor of the Diffie–Hellman key exchange.
-
B.
Heller
Heller is a surname shared by various notable individuals across fields such as film, literature, science, and politics.
-
C.
Heller
The Heller is a river in Germany that serves as a right-bank tributary of the Sieg.
-
D.
Hoffer
Hoffer is a surname most notably associated with Abram Hoffer, a Canadian psychiatrist known for his work in orthomolecular medicine and niacin therapy for mental illness.
-
E.
Joffe
Joffe is a surname most notably associated with Adolf Joffe, a prominent early 20th-century Russian revolutionary and diplomat.
- F. None of above. chosen
Provenance (5 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c25976081909e0a40e07dff0b8a |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135b2500c8190aaf67b059ccbe3f1 |
completed | March 23, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69c13769a4bc81908d45d371e77f8d32 |
completed | March 23, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c138247e2c8190b6c2aabbd36ad9c0 |
completed | March 23, 2026, 12:55 p.m. |
Created at: March 22, 2026, 4:14 p.m.