Triple
T13191543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molly Ziegler |
E313999
|
entity |
| Predicate | partOfFamily |
P4276
|
FINISHED |
| Object | Ziegler family |
E842012
|
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: Ziegler family | Statement: [Molly Ziegler, partOfFamily, Ziegler family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ziegler family Context triple: [Molly Ziegler, partOfFamily, Ziegler family]
-
A.
Ziegler family
chosen
The Ziegler family is a familial group or lineage to which Huck Ziegler belongs.
-
B.
Wisner family
The Wisner family is a familial lineage or household to which Graham Wisner belongs.
-
C.
Seiler family
The Seiler family is a prominent family known for its long-standing stewardship and management of the University of Georgia’s beloved English bulldog mascot, Uga.
-
D.
Ochs family
The Ochs family is a prominent American publishing dynasty best known for its long-standing ownership and leadership of The New York Times.
-
E.
Schueller family
The Schueller family is a prominent French dynasty best known for founding and controlling the L'Oréal cosmetics empire and for its major philanthropic influence.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c600ab48190bcf84aaf5846fb4b |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5fef9e48190961d66ebcc1df11f |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:15 p.m.