Triple
T9581223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Ibáñez del Campo |
E231173
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Rosa Markmann |
E270754
|
NE FINISHED |
How this triple was built (2 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: [Carlos Ibáñez del Campo, spouse, Rosa Markmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosa Markmann Context triple: [Carlos Ibáñez del Campo, spouse, Rosa Markmann]
-
A.
Rosa Markmann
chosen
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.
-
B.
Luisa Haag
Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
-
C.
Renée Hartmann
Renée Hartmann was the wife of Venezuelan statesman and former president Rómulo Betancourt.
-
D.
Marianne Tromlitz
Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
-
E.
Elizabeth Hofmann
Elizabeth Hofmann is known as the spouse of American glass artist and sculptor Dan Dailey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cbe79081909947b4d1389eb015 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc389c248190ac10adfc49a1240d |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:05 p.m.