Triple
T7600353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray Chotiner |
E179966
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Chotiner
Chotiner is a surname most notably associated with Murray Chotiner, an American political strategist and key adviser to Richard Nixon.
|
E674667
|
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: Chotiner | Statement: [Murray Chotiner, familyName, Chotiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chotiner Context triple: [Murray Chotiner, familyName, Chotiner]
-
A.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
-
B.
Polton
Polton is a small village in Midlothian, Scotland, situated near the River North Esk and historically associated with paper milling.
-
C.
Smidovich
Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
-
D.
Chaloub
Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
-
E.
Tichy
Tichy is a coastal town and seaside resort in northern Algeria known for its Mediterranean beaches and tourism.
- 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: Chotiner Triple: [Murray Chotiner, familyName, Chotiner]
Generated description
Chotiner is a surname most notably associated with Murray Chotiner, an American political strategist and key adviser to Richard Nixon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chotiner Target entity description: Chotiner is a surname most notably associated with Murray Chotiner, an American political strategist and key adviser to Richard Nixon.
-
A.
Menzel
Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
-
B.
Polton
Polton is a small village in Midlothian, Scotland, situated near the River North Esk and historically associated with paper milling.
-
C.
Smidovich
Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
-
D.
Chaloub
Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
-
E.
Tichy
Tichy is a coastal town and seaside resort in northern Algeria known for its Mediterranean beaches and tourism.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d9c55c8190841f3bf3225c096a |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861ad08bc8190b3fc22109579a47d |
completed | March 28, 2026, 11:18 p.m. |
| NEDg | Description generation | batch_69c86239eb348190b5a0b83d280000e2 |
completed | March 28, 2026, 11:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c862a2f6808190942a22bf93994408 |
completed | March 28, 2026, 11:22 p.m. |
Created at: March 27, 2026, 3:53 p.m.