Triple
T26229523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David HaLevi Segal |
E655990
|
entity |
| Predicate | fatherInLawAlsoKnownAs |
P160377
|
FINISHED |
| Object | Bach |
—
|
NE NERFINISHED |
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: Bach | Statement: [David HaLevi Segal, fatherInLawAlsoKnownAs, Bach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatherInLawAlsoKnownAs Context triple: [David HaLevi Segal, fatherInLawAlsoKnownAs, Bach]
-
A.
fatherAlsoKnownAs
Indicates that a person’s father is known or referred to by an alternative name or alias.
-
B.
fatherInLaw
Indicates a relationship where one person is the father of another person's spouse or the spouse of someone's parent.
-
C.
grandfatherInLaw
Indicates that one person is the grandfather of another person’s spouse.
-
D.
possibleFatherInLaw
Indicates that one person is a potential or candidate father-in-law of another, typically as the (possible) father of that person’s spouse or prospective spouse.
-
E.
forefatherOf
Indicates that one person is an ancestor, typically from an earlier generation, of another person.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d56b0388190826b97fa17dc97ce |
completed | May 2, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 8:59 p.m.