Triple
T28727394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlene McGee |
E730259
|
entity |
| Predicate | inUniverseOrganizationTargeting |
P167930
|
FINISHED |
| Object | The Shop |
—
|
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: The Shop | Statement: [Charlene McGee, inUniverseOrganizationTargeting, The Shop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseOrganizationTargeting Context triple: [Charlene McGee, inUniverseOrganizationTargeting, The Shop]
-
A.
inUniverseOrganization
Indicates that an organization exists and operates within a specified fictional or narrative universe.
-
B.
inUniverseAffiliationType
Indicates the type or category of affiliation an entity has within a particular fictional or narrative universe.
-
C.
includesOrganization
Indicates that one entity contains, encompasses, or has within it the specified organization as a component, member, or part.
-
D.
inUniverseRestriction
Indicates that something is limited, applicable, or valid only within a specific fictional or defined universe or continuity.
-
E.
targetOrganization
Indicates that one entity is the organization that is the focus, recipient, or primary subject of another entity’s action, service, or relationship.
- F. None of above. chosen
Provenance (4 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 5:56 a.m.