Triple
T15448302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gretl von Trapp |
E370080
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Agathe Whitehead |
E1106595
|
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: Agathe Whitehead | Statement: [Gretl von Trapp, mother, Agathe Whitehead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agathe Whitehead Context triple: [Gretl von Trapp, mother, Agathe Whitehead]
-
A.
Agathe Whitehead
chosen
Agathe Whitehead was an English-born heiress to the Whitehead torpedo fortune and the first wife of Austrian naval officer Georg von Trapp.
-
B.
Madeleine White
Madeleine White is a powerful and enigmatic fixer in the film "Inside Man," known for her high-level political connections and morally ambiguous negotiations.
-
C.
Anne Ashmond
Anne Ashmond is a fictional character appearing in the film "Royal Wedding."
-
D.
Maud Sampson
Maud Sampson is an individual interred at the Texas State Cemetery, a burial ground reserved for notable Texans and figures of historical significance to the state.
-
E.
Beatrice Dawson
Beatrice Dawson was a British costume designer known for her work on mid-20th-century films, earning multiple Academy Award nominations for her period and character costumes.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef9334c81908541e231b43eb012 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff755ffbdc8190825010885e68ebc3 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 3:21 a.m.