Triple
T11571170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Frankenstein |
E274388
|
entity |
| Predicate | laboratoryLocation |
P95234
|
FINISHED |
| Object | secluded watchtower |
—
|
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: secluded watchtower | Statement: [Henry Frankenstein, laboratoryLocation, secluded watchtower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laboratoryLocation Context triple: [Henry Frankenstein, laboratoryLocation, secluded watchtower]
-
A.
relatedLaboratory
chosen
Indicates that one entity has an associated or connected laboratory, such as a facility used for its research, testing, or experimental activities.
-
B.
laboratoryNameInStory
Indicates that a specific laboratory is referred to by a particular name within the context of a story or narrative.
-
C.
laboratoryModuleOrigin
Indicates that a laboratory module originates from, or was initially created or deployed at, a specified source location or context.
-
D.
laboratoryModule
Indicates a relationship where an entity is a laboratory module or functions as a lab-specific component or unit within a larger system or structure.
-
E.
aboardLaboratory
Indicates that an entity is physically present on or within a laboratory facility, such as being on board a lab-equipped platform, vehicle, or structure.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd6913881908becf188c0a7a275 |
completed | April 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69d85dc3fc2c8190bed7e2111301a77c |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.