Triple
T13191534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molly Ziegler |
E313999
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Toby Ziegler |
E40003
|
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: Toby Ziegler | Statement: [Molly Ziegler, relative, Toby Ziegler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toby Ziegler Context triple: [Molly Ziegler, relative, Toby Ziegler]
-
A.
Toby Ziegler
chosen
Toby Ziegler is a central fictional character on the television series "The West Wing," serving as the White House Communications Director known for his sharp intellect, moral conviction, and often dour demeanor.
-
B.
Toby Jessel
Toby Jessel was a British Conservative politician who served for many years as the Member of Parliament for Twickenham.
-
C.
Toby Domzalski
Toby Domzalski is a main character in Guillermo del Toro’s animated Tales of Arcadia trilogy, known as the loyal, comedic best friend who becomes a courageous hero in the series.
-
D.
Toby Pohlen
Toby Pohlen is a member of the team at xAI, the artificial intelligence company founded by Elon Musk.
-
E.
Toby Jaffe
Toby Jaffe is a film producer known for working on major Hollywood projects, including the musical comedy adaptation "Rock of Ages."
- 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_69f70a2e415481908ad1036376f702dc |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:15 p.m.