Triple
T26534174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenton Meiks |
E670896
|
entity |
| Predicate | hasKeyProp |
P23698
|
FINISHED |
| Object | basement where he is locked by his father |
—
|
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: basement where he is locked by his father | Statement: [Fenton Meiks, hasKeyProp, basement where he is locked by his father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyProp Context triple: [Fenton Meiks, hasKeyProp, basement where he is locked by his father]
-
A.
hasKeyElement
Indicates that one entity contains or depends on another entity that serves as a primary or essential component.
-
B.
hasKeyField
Indicates that one entity possesses or defines a primary identifying field used as a key in relation to another entity.
-
C.
hasKeyStructure
Indicates that one entity possesses or defines the primary structural framework or core structural pattern of another entity.
-
D.
hasKeyFunction
Indicates that one entity serves as a primary or essential function or role for another entity.
-
E.
haveProperty
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
- F. None of above.
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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 1:37 a.m.