Triple
T36409670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keri Tate |
E896841
|
entity |
| Predicate | aliasUsedFor |
P185458
|
FINISHED |
| Object | hiding from Michael Myers |
—
|
LITERAL 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: hiding from Michael Myers | Statement: [Keri Tate, aliasUsedFor, hiding from Michael Myers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aliasUsedFor Context triple: [Keri Tate, aliasUsedFor, hiding from Michael Myers]
-
A.
usesAliasFor
Indicates that one entity employs an alternative name or identifier to refer to another entity.
-
B.
usesAliasTo
Indicates that one entity employs an alternative name or identifier to refer to or represent another entity.
-
C.
usesAliasIn
Indicates that one entity operates under or refers to another entity by an alternative name or alias within a specific context.
-
D.
usedByAlias
Indicates that something is utilized, referenced, or accessed through an alternative name or alias.
-
E.
alternativeUsedBy
Indicates that one entity serves as an alternative option or substitute that is used in place of another entity.
- F. None of above. chosen
Provenance (4 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.