Triple
T486088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy T. Helvering |
E9880
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Helvering
Helvering is a surname most notably associated with Guy T. Helvering, a prominent American politician and former Commissioner of Internal Revenue.
|
E60564
|
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: Helvering | Statement: [Guy T. Helvering, familyName, Helvering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helvering Context triple: [Guy T. Helvering, familyName, Helvering]
-
A.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
B.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
C.
Hart
Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
-
D.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
E.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
- 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: Helvering Triple: [Guy T. Helvering, familyName, Helvering]
Generated description
Helvering is a surname most notably associated with Guy T. Helvering, a prominent American politician and former Commissioner of Internal Revenue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helvering Target entity description: Helvering is a surname most notably associated with Guy T. Helvering, a prominent American politician and former Commissioner of Internal Revenue.
-
A.
Helleren
Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
-
B.
Löwenthal
Löwenthal is the maiden surname of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
-
C.
Hart
Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
-
D.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
E.
Blaustein
Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0bc6f548190b13dee42cb100423 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4712156a88190b18c971309477da7 |
completed | March 1, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69a4728388a481909a05835623ab81af |
completed | March 1, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4729edbb88190a4c509a964888203 |
completed | March 1, 2026, 5:08 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.