Triple
T24459480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holly Sykes |
E616776
|
entity |
| Predicate | themeVehicleFor |
P107757
|
FINISHED |
| Object | ethical consequences of immortality |
—
|
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: ethical consequences of immortality | Statement: [Holly Sykes, themeVehicleFor, ethical consequences of immortality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeVehicleFor Context triple: [Holly Sykes, themeVehicleFor, ethical consequences of immortality]
-
A.
vehicleTheme
chosen
Indicates that an entity serves as the vehicle or means through which another entity, event, or action is carried out or expressed.
-
B.
vehicleFor
Indicates that one entity serves as the means of transportation or conveyance for another entity.
-
C.
drivesTheme
Indicates that one element is the primary motivating force or underlying cause that shapes, propels, or organizes a particular theme.
-
D.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
E.
intendedVehicle
Indicates that one entity is the vehicle that another entity plans or is meant to use.
- 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_69e2d7ef9fe08190a0613908758b4e86 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f298c8d854819091f1d92eef02b1b1 |
completed | April 29, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:19 a.m.