Triple
T10465668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Man |
E246786
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | “Clementine” |
E866288
|
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: “Clementine” | Statement: [Green Man, notableSong, “Clementine”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Clementine” Context triple: [Green Man, notableSong, “Clementine”]
-
A.
“Clementine”
chosen
“Clementine” is a component or segment of the larger work or character ensemble known as Green Man.
-
B.
Clementine
Clementine is a feminine given name most famously borne by Clementine Churchill, the wife of British Prime Minister Winston Churchill.
-
C.
Sweetie
Sweetie is a 1989 Australian black comedy-drama film directed by Jane Campion that explores a dysfunctional family through darkly surreal and psychologically intense storytelling.
-
D.
Kızıl Elma
Kızıl Elma is a seminal poetic work by Turkish nationalist thinker Ziya Gökalp that articulates his vision of Turkish identity, unity, and idealism.
-
E.
Lemonade Lucy
Lemonade Lucy was the popular nickname of U.S. First Lady Lucy Webb Hayes, known for her support of the temperance movement and for banning alcohol from White House events.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092d6d408190b6bda4d7ced4601e |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc5c26a88190aab4a590c20191a3 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:19 p.m.