Triple
T36923251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Fischer |
E913265
|
entity |
| Predicate | goalImposedOn |
P186694
|
FINISHED |
| Object | dissolve his father’s 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: dissolve his father’s company | Statement: [Robert Fischer, goalImposedOn, dissolve his father’s company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalImposedOn Context triple: [Robert Fischer, goalImposedOn, dissolve his father’s company]
-
A.
goalIn
Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
-
B.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
C.
goals
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
D.
goalOfRealization
Indicates the intended outcome or objective that an action, process, or plan is meant to bring into reality or achieve.
-
E.
goalStructure
Indicates the overarching objective or intended outcome that organizes and guides the structure of related actions, components, or relationships.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.