Triple
T37507139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Door of Shadows |
E932123
|
entity |
| Predicate | grantsAdvantage |
P192466
|
FINISHED |
| Object | enhanced mobility |
—
|
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: enhanced mobility | Statement: [Door of Shadows, grantsAdvantage, enhanced mobility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsAdvantage Context triple: [Door of Shadows, grantsAdvantage, enhanced mobility]
-
A.
grantsAre
Indicates that one entity provides or awards grants to another entity.
-
B.
grantsCreditFor
Indicates that one entity recognizes or awards academic or other formal credit to another entity for a specific activity, course, or achievement.
-
C.
grantedHonor
Indicates that one entity has formally bestowed an honor, award, or distinction upon another entity.
-
D.
grantsAttack
Indicates that one entity confers or provides an attack capability or action to another entity.
-
E.
notableAdvantage
Indicates that one entity possesses a significant benefit, edge, or favorable quality over another entity or in a given context.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
| PDg | Predicate description generation | batch_69fd0b92150881909b1166fe6d09aa19 |
completed | May 7, 2026, 10 p.m. |
Created at: May 3, 2026, 4:17 p.m.