Triple
T18114564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D'Lila Star Combs |
E433570
|
entity |
| Predicate | hasSiblingType |
P130501
|
FINISHED |
| Object | twin |
—
|
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: twin | Statement: [D'Lila Star Combs, hasSiblingType, twin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiblingType Context triple: [D'Lila Star Combs, hasSiblingType, twin]
-
A.
hasSiblingAspect
Indicates that one entity possesses a characteristic, feature, or aspect that is conceptually parallel or analogous to a corresponding aspect of another entity, as in a sibling-like relationship between their attributes.
-
B.
hasSiblingTier
Indicates that two entities occupy the same or equivalent sibling level or rank within a hierarchical structure.
-
C.
hasSiblingCharacters
Indicates that two characters share at least one common parent, making them siblings in the narrative or data context.
-
D.
hasStepSibling
Indicates that one person is the step-sibling of another, meaning they are related through the marriage of their parents rather than by blood or adoption.
-
E.
hasSisterProperty
Indicates that one property is related to another as a sister property, typically sharing a common parent or similar hierarchical level.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd4c7888190b85c39decdb0333f |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:28 a.m.