Triple
T20149957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EC Comics |
E491408
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Crypt-Keeper |
—
|
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: Crypt-Keeper | Statement: [EC Comics, notableCharacter, Crypt-Keeper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crypt-Keeper Context triple: [EC Comics, notableCharacter, Crypt-Keeper]
-
A.
Crypt Keeper
chosen
The Crypt Keeper is a ghoulish, pun-loving horror host best known for introducing and narrating macabre stories in the television series "Tales from the Crypt."
-
B.
KeePass
KeePass is a free, open-source password manager that securely stores and organizes passwords in an encrypted local database.
-
C.
Orvault
Orvault is a suburban commune in western France, forming part of the metropolitan area of Nantes in the Loire-Atlantique department.
-
D.
Secret Manager
Secret Manager is a Google Cloud service for securely storing, managing, and accessing sensitive configuration data such as API keys, passwords, and certificates.
-
E.
Keychain
Keychain is Apple's built-in password and credentials manager that securely stores and autofills logins, certificates, and other sensitive information across its devices and apps.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a1c5848190975b17ab07251f8b |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.