Triple
T12557978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Alien |
E295266
|
entity |
| Predicate | bearerStance |
P105887
|
FINISHED |
| Object | orthodox |
—
|
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: orthodox | Statement: [The Alien, bearerStance, orthodox]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerStance Context triple: [The Alien, bearerStance, orthodox]
-
A.
bearerPosition
Indicates the spatial or positional relationship of a bearer (holder or carrier) relative to the item or entity it bears.
-
B.
bearer
Indicates that one entity carries, holds, or possesses another entity, often as the current holder of a right, document, or object.
-
C.
bearerAlignedWith
Indicates that the bearer’s position, orientation, or stance is arranged in line with, or matches, that of another specified reference.
-
D.
bearerByname
Indicates that an entity is known or referred to by a particular byname or secondary name.
-
E.
bearerAnglicizedNameOf
Indicates that one entity is the anglicized (English-adapted) version of the name borne by 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 11:48 p.m.