Triple
T37219903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Shaffer Phipps |
E922848
|
entity |
| Predicate | familyWealthOrigin |
P193031
|
FINISHED |
| Object | Carnegie Steel-related investments |
—
|
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: Carnegie Steel-related investments | Statement: [John Shaffer Phipps, familyWealthOrigin, Carnegie Steel-related investments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyWealthOrigin Context triple: [John Shaffer Phipps, familyWealthOrigin, Carnegie Steel-related investments]
-
A.
familyBackgroundDetail
Indicates detailed information about an entity’s family background, such as lineage, upbringing, or familial circumstances.
-
B.
householdOrigin
Indicates the original household or family unit from which an entity (such as a person or record) comes or is derived.
-
C.
ownsByFamily
Indicates that ownership of an entity is held collectively or primarily by a family rather than by an individual or non-family organization.
-
D.
wealthDescribedAs
Indicates that one entity’s wealth is characterized, portrayed, or expressed in terms of another entity or description.
-
E.
inheritsWealth
Indicates that one entity receives wealth or assets passed down from another, typically after the latter’s death.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: May 3, 2026, 4:15 p.m.