Triple
T29938049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Cherng |
E760421
|
entity |
| Predicate | businessOwnershipStakeIn |
P99020
|
FINISHED |
| Object | Panda Restaurant Group |
—
|
NE NERFINISHED |
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: Panda Restaurant Group | Statement: [Peggy Cherng, businessOwnershipStakeIn, Panda Restaurant Group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessOwnershipStakeIn Context triple: [Peggy Cherng, businessOwnershipStakeIn, Panda Restaurant Group]
-
A.
businessHoldings
Indicates the relationship where one business owns, controls, or maintains financial or asset interests in another entity or set of entities.
-
B.
ownershipStake
chosen
Indicates that one entity holds a partial or full ownership interest or equity stake in another entity.
-
C.
businessEntity
Indicates a relationship where an entity functions as or is classified as a business or commercial organization.
-
D.
ownershipStructure
Indicates how ownership or control is distributed among entities within an organization or asset.
-
E.
acquiredStakeIn
Indicates that one entity has obtained an ownership interest or shareholding in another entity.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 6:21 p.m.