Triple
T19105132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Lantos |
E467632
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lantos
Lantos is a surname most notably associated with Tom Lantos, a Holocaust survivor and long-serving U.S. Congressman known for his work on human rights.
|
E467632
|
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: Lantos | Statement: [Tom Lantos, familyName, Lantos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lantos Context triple: [Tom Lantos, familyName, Lantos]
-
A.
Tom Lantos
Tom Lantos was a Hungarian-American Holocaust survivor and long-serving U.S. Congressman known for his staunch advocacy of human rights and foreign policy leadership.
-
B.
Ervin
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
-
C.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
D.
Raúl Labrador
Raúl Labrador is an American Republican politician and attorney from Idaho, known for his staunchly conservative views and role as a founding member of the House Freedom Caucus.
-
E.
Arlen
Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
- 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: Lantos Triple: [Tom Lantos, familyName, Lantos]
Generated description
Lantos is a surname most notably associated with Tom Lantos, a Holocaust survivor and long-serving U.S. Congressman known for his work on human rights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lantos Target entity description: Lantos is a surname most notably associated with Tom Lantos, a Holocaust survivor and long-serving U.S. Congressman known for his work on human rights.
-
A.
Tom Lantos
chosen
Tom Lantos was a Hungarian-American Holocaust survivor and long-serving U.S. Congressman known for his staunch advocacy of human rights and foreign policy leadership.
-
B.
Ervin
Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
-
C.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
D.
Raúl Labrador
Raúl Labrador is an American Republican politician and attorney from Idaho, known for his staunchly conservative views and role as a founding member of the House Freedom Caucus.
-
E.
Arlen
Arlen is a given name most notably borne by Arlen Specter, a long-serving United States Senator from Pennsylvania.
- F. None of above.
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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3704c688190b84ef82da45d0862 |
completed | April 20, 2026, 8:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dda026d48190a4d35291d49f497e |
completed | May 14, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_6a05dfcf14788190a75298641ba20e0e |
completed | May 14, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e10ae8188190a9dce95fa838ff7f |
completed | May 14, 2026, 2:49 p.m. |
Created at: April 10, 2026, 12:04 p.m.