Triple
T16095782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Eight |
E390478
|
entity |
| Predicate | followsCharacter |
P10688
|
FINISHED |
| Object | Clementine |
E942465
|
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: [Hard Eight, followsCharacter, Clementine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clementine Context triple: [Hard Eight, followsCharacter, Clementine]
-
A.
Clementine
Clementine is a feminine given name most famously borne by Clementine Churchill, the wife of British Prime Minister Winston Churchill.
-
B.
Clementine
chosen
Clementine is a central protagonist in Telltale Games' The Walking Dead series, known for her emotional character arc from vulnerable child to resilient survivor in a zombie apocalypse.
-
C.
“Clementine”
“Clementine” is a component or segment of the larger work or character ensemble known as Green Man.
-
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.
Limonest
Limonest is a commune in eastern France, near Lyon, known for hosting the headquarters of several technology and e-commerce companies.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1859283008190baac96142b5c7e53 |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb991ba88190ad568a49069f9701 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:59 a.m.