Triple
T2476847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry F. Sinclair |
E55107
|
entity |
| Predicate | typeOfBusinessLeader |
P29263
|
FINISHED |
| Object | robber baron-era industrialist |
—
|
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: robber baron-era industrialist | Statement: [Harry F. Sinclair, typeOfBusinessLeader, robber baron-era industrialist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBusinessLeader Context triple: [Harry F. Sinclair, typeOfBusinessLeader, robber baron-era industrialist]
-
A.
organizationTypeLed
Indicates that an entity holds a leadership role over an organization of a specified type.
-
B.
leadershipPosition
Indicates that one entity holds a role of authority, guidance, or decision-making responsibility over others within an organization, group, or context.
-
C.
hasTypeOfLeadership
Indicates that an entity possesses or is characterized by a specific style or form of leadership.
-
D.
hasTypeOfOrganization
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
E.
typeOfEntrepreneur
chosen
Indicates the specific category or kind of entrepreneur that an entity is classified as.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1eb3be481908fa7c6b8f1c78209 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b5e3d481909a5cbc4a96edd24f |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.