Triple
T24186780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milton S. Hershey |
E599577
|
entity |
| Predicate | usedProceedsFor |
P43040
|
FINISHED |
| Object | expansion of Hershey Chocolate Company |
—
|
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: expansion of Hershey Chocolate Company | Statement: [Milton S. Hershey, usedProceedsFor, expansion of Hershey Chocolate Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedProceedsFor Context triple: [Milton S. Hershey, usedProceedsFor, expansion of Hershey Chocolate Company]
-
A.
usedFund
chosen
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
B.
usedCapital
Indicates that an entity made use of a particular capital city as its seat of government or primary administrative center.
-
C.
usesWinningsFor
Indicates that an entity allocates or spends its winnings or prize money for a particular purpose or beneficiary.
-
D.
usedVia
Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
-
E.
usedFeederFunds
Indicates that an entity employed feeder funds as intermediary investment vehicles to channel capital into another fund or investment structure.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:35 p.m.