Triple
T4583972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milkman Dead |
E101922
|
entity |
| Predicate | sisters |
P363
|
FINISHED |
| Object | First Corinthians Dead |
—
|
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: First Corinthians Dead | Statement: [Milkman Dead, sisters, First Corinthians Dead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sisters Context triple: [Milkman Dead, sisters, First Corinthians Dead]
-
A.
sibling
chosen
Indicates that two entities share at least one parent, making them brothers or sisters to each other.
-
B.
hasSister
Indicates that one entity is the sister of another entity.
-
C.
stepSibling
Indicates that two people share at least one parent but do not share both biological parents, making them step-siblings.
-
D.
stepSister
Indicates that one person is the female child of a parent who is married to, but not the biological or adoptive parent of, another person, making her that person’s stepsister.
-
E.
adoptiveSister
Indicates a sisterly relationship where one person is the sister of another through legal adoption rather than biological parentage.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd590411dc81909c55d1c42a4d44ef |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.