Triple
T10997449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Eversmann |
E259916
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Eversmann
Eversmann is a surname most notably associated with Matt Eversmann, a U.S. Army Ranger whose actions during the Battle of Mogadishu were depicted in the book and film "Black Hawk Down."
|
E898806
|
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: Eversmann | Statement: [Matt Eversmann, familyName, Eversmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eversmann Context triple: [Matt Eversmann, familyName, Eversmann]
-
A.
Wuppermann
Wuppermann is the original German family name of American actor and musician Frank Morgan.
-
B.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
C.
Urich
Urich is a surname most notably associated with American actor Robert Urich, known for his roles in television series such as "Spenser: For Hire" and "Vega$."
-
D.
Emmerich
Emmerich is the German form of the given name Imre, used primarily in German-speaking regions.
-
E.
Wahlborg
Wahlborg is a variant form of the surname Wahlberg, which is of Scandinavian origin.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eversmann Triple: [Matt Eversmann, familyName, Eversmann]
Generated description
Eversmann is a surname most notably associated with Matt Eversmann, a U.S. Army Ranger whose actions during the Battle of Mogadishu were depicted in the book and film "Black Hawk Down."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eversmann Target entity description: Eversmann is a surname most notably associated with Matt Eversmann, a U.S. Army Ranger whose actions during the Battle of Mogadishu were depicted in the book and film "Black Hawk Down."
-
A.
Wuppermann
Wuppermann is the original German family name of American actor and musician Frank Morgan.
-
B.
Ernst
Ernst is a masculine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
C.
Urich
Urich is a surname most notably associated with American actor Robert Urich, known for his roles in television series such as "Spenser: For Hire" and "Vega$."
-
D.
Emmerich
Emmerich is the German form of the given name Imre, used primarily in German-speaking regions.
-
E.
Wahlborg
Wahlborg is a variant form of the surname Wahlberg, which is of Scandinavian origin.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d20b448190958331705de3a9be |
completed | April 9, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3452420c08190b9c91a9c8a807670 |
completed | April 18, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69e3556fd3548190a33f04604be947cf |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e359508a388190a16d48a17015e13e |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:24 p.m.