Triple
T4466966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis Hamilton |
E98401
|
entity |
| Predicate | otherActivity |
P56689
|
FINISHED |
| Object | fashion collaboration |
—
|
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: fashion collaboration | Statement: [Lewis Hamilton, otherActivity, fashion collaboration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otherActivity Context triple: [Lewis Hamilton, otherActivity, fashion collaboration]
-
A.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
B.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
C.
exportActivity
Indicates an action where goods, services, or data are sent out from one entity or region to another for trade or distribution across borders.
-
D.
laterActivity
Indicates that one activity occurs after another in time, establishing a temporal ordering between them.
-
E.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
| PDg | Predicate description generation | batch_69b356f9afc48190acb50c45a310e072 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 12, 2026, 11:34 p.m.