Triple
T2908935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bear Stearns |
E63634
|
entity |
| Predicate | acquisitionPricePerShare |
P5867
|
FINISHED |
| Object | 2 USD (initial agreement) |
—
|
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: 2 USD (initial agreement) | Statement: [Bear Stearns, acquisitionPricePerShare, 2 USD (initial agreement)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquisitionPricePerShare Context triple: [Bear Stearns, acquisitionPricePerShare, 2 USD (initial agreement)]
-
A.
acquisitionPrice
chosen
Indicates the monetary amount paid to acquire an asset, company, or item in a transaction.
-
B.
acquisitionCost
Indicates the monetary amount or value required to obtain or purchase an entity.
-
C.
purchasePricePerAcre
Indicates the monetary cost required to buy one acre of a specified property or land.
-
D.
purchasePrice
Indicates the monetary amount paid or agreed to be paid to acquire something in a purchase transaction.
-
E.
acquiredCompany
Indicates that one entity has purchased and taken ownership or control of another company.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d329c88190b6fcaef0be1799eb |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.