Triple
T28694034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armand Goldman |
E729362
|
entity |
| Predicate | relationshipToValGoldman |
P202195
|
FINISHED |
| Object | father |
—
|
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: father | Statement: [Armand Goldman, relationshipToValGoldman, father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToValGoldman Context triple: [Armand Goldman, relationshipToValGoldman, father]
-
A.
relationshipToAlbertGoldman
Indicates the specific familial, social, or professional relationship that an entity has to Albert Goldman.
-
B.
financialRelationshipWith
Indicates a financial connection or association between entities, such as ownership, investment, funding, or other monetary ties.
-
C.
relationshipToBond
Indicates the specific type of personal, familial, or professional relationship an entity has to the person named Bond.
-
D.
relationshipTarget
Indicates that an entity is the object or recipient toward which a specified relationship is directed.
-
E.
capitalRelation
Indicates that one place serves as the capital city or administrative center of another political or geographic entity.
- 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_6a0061454944819088a0babfe60f69fc |
completed | May 10, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_6a0060b9ee108190b91e8d99a16f2b30 |
completed | May 10, 2026, 10:40 a.m. |
| PDg | Predicate description generation | batch_6a0061448f6881908daa9fb0da9abefe |
completed | May 10, 2026, 10:43 a.m. |
Created at: April 28, 2026, 5:38 a.m.