Triple
T13948242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harper Grace Burtka-Harris |
E335446
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Burtka-Harris |
E1070971
|
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: Burtka-Harris | Statement: [Harper Grace Burtka-Harris, familyName, Burtka-Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burtka-Harris Context triple: [Harper Grace Burtka-Harris, familyName, Burtka-Harris]
-
A.
Burtka-Harris
chosen
Burtka-Harris is the hyphenated family surname shared by the children of actors Neil Patrick Harris and David Burtka.
-
B.
Beisner-Buck
Beisner-Buck is the hyphenated surname of American sports reporter and ESPN host Michelle Beisner-Buck, reflecting her marriage to NFL announcer Joe Buck.
-
C.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
D.
Balkhausen
Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
-
E.
Bendixsen
Bendixsen is a surname most notably associated with Hans Ditlev Bendixsen, a prominent 19th-century Danish-American shipbuilder.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e12171c8190b95746bdd4845def |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1ca49a881909e77b5a2ae13265f |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.