Triple
T35686143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Lauren |
E1031152
|
entity |
| Predicate | hasInspiredBy |
P61130
|
FINISHED |
| Object | military surplus garments |
—
|
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: military surplus garments | Statement: [Greg Lauren, hasInspiredBy, military surplus garments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInspiredBy Context triple: [Greg Lauren, hasInspiredBy, military surplus garments]
-
A.
partlyInspiredBy
Indicates that one entity has been influenced to some extent, but not wholly, by another entity in its creation, development, or form.
-
B.
inspiredByOrRelatedTo
chosen
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
-
C.
hasInspired
Indicates that one entity has served as a source of motivation, creativity, or influence leading to ideas, actions, or works in another entity.
-
D.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
E.
inspiredByAdaptationOf
Indicates that something draws its inspiration from an adaptation (rather than the original source) of another work or entity.
- 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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00781b749c8190921c46e110cae0b0 |
completed | May 10, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_6a0077df3c8481909fabc9e84f5936e3 |
completed | May 10, 2026, 12:19 p.m. |
Created at: May 3, 2026, 4:05 p.m.