Triple
T1185719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Othmar Ammann |
E25240
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Othmar
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
|
E198415
|
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: Othmar | Statement: [Othmar Ammann, givenName, Othmar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Othmar Context triple: [Othmar Ammann, givenName, Othmar]
-
A.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
B.
Aribert
Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
-
C.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
-
D.
Johann Sturm
Johann Sturm was a 16th-century German educator and humanist renowned for founding and directing the Strasbourg Gymnasium, a model Protestant school that influenced education across Europe.
-
E.
Moritz
Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
- 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: Othmar Triple: [Othmar Ammann, givenName, Othmar]
Generated description
Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Othmar Target entity description: Othmar is a masculine given name of Germanic origin, notably borne by the Swiss-American civil engineer Othmar Ammann.
-
A.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
-
B.
Aribert
Aribert is a Germanic given name, historically borne by medieval nobles and clergy, derived from elements meaning "army" and "bright."
-
C.
Heinrici
Heinrici is a German surname most notably associated with Gotthard Heinrici, a senior Wehrmacht general during World War II.
-
D.
Johann Sturm
Johann Sturm was a 16th-century German educator and humanist renowned for founding and directing the Strasbourg Gymnasium, a model Protestant school that influenced education across Europe.
-
E.
Moritz
Moritz is a masculine given name of German origin, commonly used in German-speaking countries.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd39245881908766c41943dc2752 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada957e50c8190a7ee94d4ce220ab8 |
completed | March 8, 2026, 4:52 p.m. |
| NEDg | Description generation | batch_69adaab1fb6881908e0711ae1b69e2e5 |
completed | March 8, 2026, 4:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adae9fdd3081908b1d9d7335cab1bd |
completed | March 8, 2026, 5:15 p.m. |
Created at: March 1, 2026, 7:45 p.m.