Triple
T11967472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Altrock |
E284825
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Altrock
Altrock is a surname most notably associated with early 20th-century American baseball pitcher and coach Nick Altrock.
|
E957113
|
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: Altrock | Statement: [Nick Altrock, familyName, Altrock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altrock Context triple: [Nick Altrock, familyName, Altrock]
-
A.
Simrock
Simrock was a prominent German music publishing house known for issuing important first editions of works by major composers.
-
B.
Schatzberg
Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
-
C.
Berggruen
Berggruen is a surname most prominently associated with the billionaire investor and philanthropist Nicholas Berggruen and his family.
-
D.
Bleichert
Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
-
E.
Glauber
Glauber is a surname most notably associated with Roy Glauber, an American physicist and Nobel laureate recognized for his work in quantum optics.
- 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: Altrock Triple: [Nick Altrock, familyName, Altrock]
Generated description
Altrock is a surname most notably associated with early 20th-century American baseball pitcher and coach Nick Altrock.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altrock Target entity description: Altrock is a surname most notably associated with early 20th-century American baseball pitcher and coach Nick Altrock.
-
A.
Simrock
Simrock was a prominent German music publishing house known for issuing important first editions of works by major composers.
-
B.
Schatzberg
Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
-
C.
Berggruen
Berggruen is a surname most prominently associated with the billionaire investor and philanthropist Nicholas Berggruen and his family.
-
D.
Bleichert
Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
-
E.
Glauber
Glauber is a surname most notably associated with Roy Glauber, an American physicist and Nobel laureate recognized for his work in quantum optics.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f45952f69c8190a8c7f3c327ea1a63 |
completed | May 1, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69f45f89d5b08190a87312d96e61898a |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f464a5191881908e291943996169cb |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 8, 2026, 9:46 p.m.