Triple
T12919680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally |
E309081
|
entity |
| Predicate | residesWith |
P29563
|
FINISHED |
| Object | Dr. Finkelstein |
E308163
|
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: Dr. Finkelstein | Statement: [Sally, residesWith, Dr. Finkelstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Finkelstein Context triple: [Sally, residesWith, Dr. Finkelstein]
-
A.
Dr. Finkelstein
chosen
Dr. Finkelstein is a reclusive, wheelchair-bound mad scientist from Tim Burton’s animated film "The Nightmare Before Christmas," known for creating Sally and other eerie inventions in Halloween Town.
-
B.
Dr. Golan
Dr. Golan is a sinister, shape-shifting wight who manipulates Jacob and drives much of the conflict in the novel "Miss Peregrine's Home for Peculiar Children."
-
C.
Dr. Lewis Zimmerman
Dr. Lewis Zimmerman is the Star Trek universe’s pioneering holographic engineer who created the Emergency Medical Hologram program.
-
D.
Sheldon Finkelstein
Sheldon Finkelstein is a person notable enough to be recognized as a prominent bearer of the surname Finkelstein.
-
E.
Irwin Weil
Irwin Weil is an American scholar and professor emeritus known for his work in Russian and Slavic literature and culture.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f1023881909cbfe46a89b3e184 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 5:41 p.m.