Triple
T20375836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arli$$ |
E497689
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jim Turner |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jim Turner | Statement: [Arli$$, starring, Jim Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Turner Context triple: [Arli$$, starring, Jim Turner]
-
A.
Jim Turner
chosen
Jim Turner is an American actor and comedian best known for his role on the HBO sports-agent comedy series "Arliss."
-
B.
Andre Turner
Andre Turner is an American former professional basketball player and coach best known for his standout collegiate career at the University of Memphis and subsequent NBA and international playing career.
-
C.
Eric Turner
Eric Turner is an American singer-songwriter best known for his powerful vocals and collaborations with artists in the pop and electronic music scenes.
-
D.
Mark Turner
Mark Turner is an acclaimed American jazz saxophonist known for his intricate improvisations and influential work in contemporary jazz ensembles.
-
E.
Jake LaTurner
Jake LaTurner is a Republican politician and U.S. Representative from Kansas who previously served as the Kansas State Treasurer and in the Kansas Senate.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678acae3c8190ae04323760bf5597 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.