Triple
T12919769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Vollmer |
E309085
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Vollmer
Vollmer is a German-origin surname borne by various notable individuals across fields such as literature, law enforcement, and academia.
|
E1010687
|
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: Vollmer | Statement: [Joan Vollmer, familyName, Vollmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vollmer Context triple: [Joan Vollmer, familyName, Vollmer]
-
A.
Ford Sterling
Ford Sterling was a prominent American silent film comedian and actor, best known as one of the leading stars of early slapstick cinema.
-
B.
Farris
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
-
C.
Fusco
Fusco is a character in the crime drama film "Dinner Rush," involved in the tense, interwoven events surrounding a New York City restaurant.
-
D.
Vollmann
Vollmann is the surname of William T. Vollmann, an American novelist and journalist known for his ambitious, genre-blending works and explorations of violence, poverty, and history.
-
E.
Halderman
Halderman is a surname most notably associated with Gale Halderman, the American designer credited with creating the original Ford Mustang.
- 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: Vollmer Triple: [Joan Vollmer, familyName, Vollmer]
Generated description
Vollmer is a German-origin surname borne by various notable individuals across fields such as literature, law enforcement, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vollmer Target entity description: Vollmer is a German-origin surname borne by various notable individuals across fields such as literature, law enforcement, and academia.
-
A.
Ford Sterling
Ford Sterling was a prominent American silent film comedian and actor, best known as one of the leading stars of early slapstick cinema.
-
B.
Farris
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
-
C.
Fusco
Fusco is a character in the crime drama film "Dinner Rush," involved in the tense, interwoven events surrounding a New York City restaurant.
-
D.
Vollmann
Vollmann is the surname of William T. Vollmann, an American novelist and journalist known for his ambitious, genre-blending works and explorations of violence, poverty, and history.
-
E.
Halderman
Halderman is a surname most notably associated with Gale Halderman, the American designer credited with creating the original Ford Mustang.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af5ffcc48190bf93ce32e4aecfcd |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b0653ef88190ad0e3a48675ecdcc |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1ae645c8190a7c3e5f926c6a487 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:41 p.m.