Triple
T10365651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Bennet (1995 TV series character) |
E244243
|
entity |
| Predicate | hasSisters |
P93591
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Mary Bennet (1995 TV series character), hasSisters, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSisters Context triple: [Mary Bennet (1995 TV series character), hasSisters, 4]
-
A.
hasSister
Indicates that one entity is the sister of another entity.
-
B.
hasHalfSibling
Indicates that two individuals share exactly one biological parent in common, making them half-siblings.
-
C.
hasTwin
Indicates that one entity is a twin of another, sharing the same birth event or time with a sibling.
-
D.
isEldestSisterOf
Indicates that one person is the oldest female sibling in relation to another person.
-
E.
hasHalfBrother
Indicates that one person has a male sibling with whom they share exactly one biological parent.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96f25f48190a41c8b0206b9238c |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, noon