Triple
T2090410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel González Videla |
E32654
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Rosa Markmann
Rosa Markmann was a Chilean First Lady and public figure known for her role alongside President Gabriel González Videla and her social and charitable work.
|
E270754
|
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: Rosa Markmann | Statement: [Gabriel González Videla, spouse, Rosa Markmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosa Markmann Context triple: [Gabriel González Videla, spouse, Rosa Markmann]
-
A.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
B.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
C.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
-
D.
Johanna Hiedler
Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
-
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: Rosa Markmann Triple: [Gabriel González Videla, spouse, Rosa Markmann]
Generated description
Rosa Markmann was a Chilean First Lady and public figure known for her role alongside President Gabriel González Videla and her social and charitable work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosa Markmann Target entity description: Rosa Markmann was a Chilean First Lady and public figure known for her role alongside President Gabriel González Videla and her social and charitable work.
-
A.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
B.
Marianne Ehrlich
Marianne Ehrlich was the daughter of Nobel Prize–winning German physician and immunologist Paul Ehrlich.
-
C.
Eva Schubach
Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
-
D.
Johanna Hiedler
Johanna Hiedler was an Austrian woman of the 19th century known primarily as the maternal grandmother of Adolf Hitler.
-
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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba7443448190a2642769d0b5fb93 |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af175e79d881909390ae71cceb6db2 |
completed | March 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69af1b5f8e44819097badddecc0b503c |
completed | March 9, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1bc06a248190a688d32e1e62c764 |
completed | March 9, 2026, 7:13 p.m. |
Created at: March 4, 2026, 7:43 p.m.