Triple
T23472464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil LaMarr |
E570164
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object | Jack Ryder / The Creeper |
—
|
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: Jack Ryder / The Creeper | Statement: [Phil LaMarr, portrayedCharacter, Jack Ryder / The Creeper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Ryder / The Creeper Context triple: [Phil LaMarr, portrayedCharacter, Jack Ryder / The Creeper]
-
A.
Creeper
Creeper is an iconic hostile mob from the game Minecraft known for silently approaching players and exploding.
-
B.
Creeper
Creeper is the Horned King's bumbling, goblin-like henchman from Disney's animated dark fantasy film "The Black Cauldron."
-
C.
The Creeper
chosen
The Creeper is a DC Comics antihero known for his garish yellow-and-green costume, maniacal laughter, and transformation from TV host Jack Ryder into a bizarre, acrobatic crimefighter.
-
D.
Jack Deth
Jack Deth is a time-traveling future cop and the hard-boiled protagonist of the cult sci-fi film series "Trancers."
-
E.
Creepers
Creepers is a 2005 thriller novel by David Morrell that follows a group of urban explorers whose night inside an abandoned hotel turns into a deadly struggle for survival.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a70244208190bbd8f58ac16d4399 |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:55 p.m.