Triple
T13541514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Zucker |
E323396
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zucker |
E994413
|
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: Zucker | Statement: [David Zucker, familyName, Zucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zucker Context triple: [David Zucker, familyName, Zucker]
-
A.
Zucker
chosen
Zucker is a surname most prominently associated with American filmmaker Jerry Zucker, known for directing hit comedies such as "Airplane!" and "Ghost."
-
B.
Zuckerhütl
Zuckerhütl is a prominent mountain peak in the Austrian Tyrol, renowned among alpinists as the highest summit of the Stubai Alps.
-
C.
Sugar on a Stick
Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
-
D.
Sugar
Sugar is a 1972 Broadway musical comedy with music by Jule Styne, adapted from the film "Some Like It Hot."
-
E.
Sugar
Sugar is the intelligent and ambitious Victorian-era prostitute who serves as the central protagonist in the TV adaptation of "The Crimson Petal and the White."
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9eaff881909a3cd9e88bb4ec5e |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.