Triple
T15212758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Dress C |
E363557
|
entity |
| Predicate | hasIdentityStatus |
P117543
|
FINISHED |
| Object | separate entity from Blue Dress D |
—
|
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: separate entity from Blue Dress D | Statement: [Blue Dress C, hasIdentityStatus, separate entity from Blue Dress D]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIdentityStatus Context triple: [Blue Dress C, hasIdentityStatus, separate entity from Blue Dress D]
-
A.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
B.
identityStatus
Indicates the current state or condition of an entity’s identity, such as whether it is verified, active, pending, or otherwise classified.
-
C.
hasIdentityComponent
Indicates that an entity includes or is associated with a specific component that contributes to or defines its identity.
-
D.
hasDistinctIdentity
Indicates that an entity possesses its own unique, distinguishable identity separate from other entities.
-
E.
hasFormerIdentity
Indicates that an entity previously had a different identity, name, or role before its current one.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076c9e2481909d7a464b2172f4bf |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:11 a.m.