Triple
T13304237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Kroitor |
E316892
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Julie Kroitor |
E316892
|
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: Julie Kroitor | Statement: [Roman Kroitor, child, Julie Kroitor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Kroitor Context triple: [Roman Kroitor, child, Julie Kroitor]
-
A.
Julie Kroitor
chosen
Julie Kroitor is a child of Canadian filmmaker and IMAX co-founder Roman Kroitor.
-
B.
Julie Roginsky
Julie Roginsky is a Democratic political consultant and television commentator who gained national attention for accusing Fox News chairman Roger Ailes of sexual harassment.
-
C.
Jill Krementz
Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
-
D.
Joanna Kramer
Joanna Kramer is a central character in the film "Kramer vs. Kramer," portrayed as a mother whose decision to leave and later seek custody of her son drives the story’s emotional and legal conflict.
-
E.
Janine Melnitz
Janine Melnitz is the Ghostbusters’ sharp-tongued, no-nonsense receptionist who provides comic relief and grounded support to the team.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b058bc688190b3549d1cac6f4576 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:28 p.m.