Triple
T8498603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linus Caldwell |
E201158
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Turk Malloy |
E385764
|
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: Turk Malloy | Statement: [Linus Caldwell, worksWith, Turk Malloy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turk Malloy Context triple: [Linus Caldwell, worksWith, Turk Malloy]
-
A.
Turk Malloy
chosen
Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
-
B.
Andrew Taggart
Andrew Taggart is an American DJ, producer, and songwriter best known as one half of the electronic music duo The Chainsmokers.
-
C.
Mike Banning
Mike Banning is the fictional Secret Service agent protagonist of the "Has Fallen" action film series, known for protecting the U.S. president in high-stakes terrorist attacks.
-
D.
Chris DeWolfe
Chris DeWolfe is an American entrepreneur best known as the co-creator and former CEO of the pioneering social networking site MySpace.
-
E.
John Krueger
John Krueger is an American mathematician known for his work in set theory and related areas of mathematical logic.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe583aebc819090345684bfa1fca2 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d1c2ce4819082c92484d3865edf |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:14 p.m.