Triple
T32190123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Adamson (Born Free character) |
E822214
|
entity |
| Predicate | realPersonActivity |
P1164
|
FINISHED |
| Object | lion rehabilitation |
—
|
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: lion rehabilitation | Statement: [George Adamson (Born Free character), realPersonActivity, lion rehabilitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realPersonActivity Context triple: [George Adamson (Born Free character), realPersonActivity, lion rehabilitation]
-
A.
realPerson
Indicates that the referenced entity corresponds to an actual human individual, as opposed to a fictional, anonymous, or non-human entity.
-
B.
featuresRealPersonAsHimself
Indicates that a real person appears in the work portraying themself rather than a fictional character.
-
C.
typicalActivity
chosen
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
D.
basedOnRealPersonFor
Indicates that one entity is created, modeled, or inspired using a specific real person as its basis.
-
E.
realPersonAffiliation
Indicates a relationship where a real person is formally associated or connected with an organization, group, or 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bacbaa208190b1edec2032701044 |
completed | May 3, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.