Triple
T17904739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim McManus |
E447672
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Emerald City |
—
|
NE NERFINISHED |
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: Emerald City | Statement: [Tim McManus, workLocation, Emerald City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emerald City Context triple: [Tim McManus, workLocation, Emerald City]
-
A.
Emerald City
Emerald City is the dazzling, green-hued capital of the Land of Oz and the central destination in L. Frank Baum’s classic tale "The Wonderful Wizard of Oz."
-
B.
Emerald City
Emerald City is a dark, modern television reimagining of L. Frank Baum’s Oz stories, blending fantasy and political intrigue.
-
C.
Emerald City
chosen
Emerald City is the experimental, tightly controlled cell block featured in the television series "Oz," designed to test unconventional approaches to prison management and inmate rehabilitation.
-
D.
Emerald City
Emerald City is a popular nickname for Seattle, highlighting the city's lush greenery and evergreen landscapes.
-
E.
Star City
Star City is a closed Russian town near Moscow best known as the longtime hub of Soviet and Russian cosmonaut training and spaceflight preparation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9b643c8190a01e9ec4caa88183 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.