Triple
T2074492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langer |
E44890
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Maria Langer
Maria Langer is an American author, helicopter pilot, and technology writer known for her instructional books and articles on software and aviation.
|
E268433
|
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: Maria Langer | Statement: [Langer, hasNotableBearer, Maria Langer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Langer Context triple: [Langer, hasNotableBearer, Maria Langer]
-
A.
Gita Langer
Gita Langer is a person notable enough to be recognized as a prominent bearer of the surname Langer.
-
B.
Jessica Langer
Jessica Langer is a scholar and writer known for her work in postcolonial studies, popular culture, and speculative fiction.
-
C.
Annette Ziegler
Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
-
D.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
E.
Elisabeth Vietz
Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
- 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: Maria Langer Triple: [Langer, hasNotableBearer, Maria Langer]
Generated description
Maria Langer is an American author, helicopter pilot, and technology writer known for her instructional books and articles on software and aviation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maria Langer Target entity description: Maria Langer is an American author, helicopter pilot, and technology writer known for her instructional books and articles on software and aviation.
-
A.
Gita Langer
Gita Langer is a person notable enough to be recognized as a prominent bearer of the surname Langer.
-
B.
Jessica Langer
Jessica Langer is a scholar and writer known for her work in postcolonial studies, popular culture, and speculative fiction.
-
C.
Annette Ziegler
Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
-
D.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
E.
Elisabeth Vietz
Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba116ea0819086d16c3913159e9e |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef07c3420819097a153052feb1a15 |
completed | March 9, 2026, 4:08 p.m. |
| NEDg | Description generation | batch_69aef6548458819090d60af7ea747ae6 |
completed | March 9, 2026, 4:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef76715588190b7e66429f049c4a3 |
completed | March 9, 2026, 4:37 p.m. |
Created at: March 4, 2026, 7:41 p.m.