Triple
T1377979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Alvarez |
E29268
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Alvarez
Alvarez is a common Spanish surname borne by numerous notable figures across fields such as science, sports, and the arts.
|
E158807
|
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: Alvarez | Statement: [Luis Alvarez, familyName, Alvarez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvarez Context triple: [Luis Alvarez, familyName, Alvarez]
-
A.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
B.
Oberholtzer
Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
-
C.
Toro
Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
-
D.
Rockwell
Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
-
E.
Rockwell
Rockwell is the surname of Norman Rockwell, the iconic American painter and illustrator renowned for his depictions of everyday life in the United States.
- 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: Alvarez Triple: [Luis Alvarez, familyName, Alvarez]
Generated description
Alvarez is a common Spanish surname borne by numerous notable figures across fields such as science, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alvarez Target entity description: Alvarez is a common Spanish surname borne by numerous notable figures across fields such as science, sports, and the arts.
-
A.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
B.
Oberholtzer
Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
-
C.
Toro
Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
-
D.
Rockwell
Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
-
E.
Rockwell
Rockwell is the surname of Norman Rockwell, the iconic American painter and illustrator renowned for his depictions of everyday life in the United States.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3173548819082aec7c1af9c577c |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd488698481909411c004aadfcaec |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd625592481908c688802ce8381ee |
completed | March 8, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd6daf83881909cf5a4105ebf14a5 |
completed | March 8, 2026, 1:54 a.m. |
Created at: March 1, 2026, 7:59 p.m.