Triple
T21799430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincent Chase |
E538196
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Turtle |
—
|
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: Turtle | Statement: [Vincent Chase, hasFriend, Turtle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turtle Context triple: [Vincent Chase, hasFriend, Turtle]
-
A.
Turtle
chosen
Turtle is a laid-back, loyal friend and driver in the TV series "Entourage," known for his comic relief and eventual growth into a more ambitious, entrepreneurial character.
-
B.
Tortoise
Tortoise is an influential American post-rock band known for its experimental, genre-blending instrumental compositions and pioneering role in the 1990s Chicago music scene.
-
C.
Terrapin
Terrapin is a small freshwater turtle, often found in brackish coastal waters, known for its hard shell and semi-aquatic lifestyle.
-
D.
Želva
Želva is a small town in Lithuania known as the birthplace of Nobel Prize–winning chemist and crystallographer Aaron Klug.
-
E.
Toby Tortoise
Toby Tortoise is a slow but clever cartoon tortoise best known as the underdog who outsmarts the overconfident hare in Disney’s adaptation of "The Tortoise and the Hare."
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fd59048190ae4e50f4aee919e7 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 16, 2026, 6:53 p.m.