Triple
T9290805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gray Tree |
E223510
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Gray Tree |
E223510
|
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: Gray Tree | Statement: [Gray Tree, title, Gray Tree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gray Tree Context triple: [Gray Tree, title, Gray Tree]
-
A.
Gray Tree
chosen
Gray Tree is a 1911 Cubist-influenced painting by Piet Mondrian that marks a key step in his progression toward abstraction.
-
B.
Appletree
"Appletree" is a soulful neo-soul track by Erykah Badu from her acclaimed debut album *Baduizm*, known for its smooth groove and introspective lyrics.
-
C.
Franklin Tree
Franklin Tree is a notable giant sequoia located in the Giant Forest of California’s Sequoia National Park.
-
D.
Sycamore
Sycamore is a small city in northern Illinois known for its historic downtown and annual Sycamore Pumpkin Festival.
-
E.
Tawny Cypress
Tawny Cypress is an American actress known for her roles in television series such as Yellowjackets, Heroes, and House of Cards.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0865a7108190b807afd259980db2 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b2381e2c8190acbecf97dea1200c |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:35 p.m.