Triple
T6593687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Crown |
E148422
|
entity |
| Predicate | mergedCompany |
P6600
|
FINISHED |
| Object | Material Service Corporation–General Dynamics relationship |
—
|
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: Material Service Corporation–General Dynamics relationship | Statement: [Henry Crown, mergedCompany, Material Service Corporation–General Dynamics relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mergedCompany Context triple: [Henry Crown, mergedCompany, Material Service Corporation–General Dynamics relationship]
-
A.
parentCompanyAfterMerger
Indicates that one company is the resulting parent company of another following a merger.
-
B.
acquiredCompany
Indicates that one entity has purchased and taken ownership or control of another company.
-
C.
mergerPartner
chosen
Indicates that two entities are involved as counterparties in a merger transaction with each other.
-
D.
memberCompany
Indicates that a company is formally part of, or affiliated as a member with, a larger organization, group, or association.
-
E.
mergerResultedIn
Indicates that a merger between entities led to the creation, change, or outcome represented by the related entity or state.
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:55 p.m.