Triple
T11521681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audrey |
E273177
|
entity |
| Predicate | livesIn |
P40
|
FINISHED |
| Object | Thneedville |
E222770
|
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: Thneedville | Statement: [Audrey, livesIn, Thneedville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thneedville Context triple: [Audrey, livesIn, Thneedville]
-
A.
Thneedville
chosen
Thneedville is the brightly colored, artificial city in the 2012 animated film "The Lorax," where residents live surrounded by plastic and metal with no real trees or nature.
-
B.
Coolville
Coolville is a small village in southeastern Ohio, United States, known for its rural setting near the Hocking and Ohio rivers.
-
C.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
D.
Stormville
Stormville is a small hamlet in the town of East Fishkill in Dutchess County, New York, known for its rural character and large flea market.
-
E.
Toonerville
Toonerville is the fictional small-town setting featured in the early 20th-century Mickey McGuire comedy stories and film shorts.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd129c88190893b95222480e04a |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62551a36081908ef6418fe8e2155c |
completed | April 20, 2026, 1:08 p.m. |
Created at: April 8, 2026, 9:37 p.m.