Triple
T31946309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Drake |
E815659
|
entity |
| Predicate | ageInUncharted4 |
P173036
|
FINISHED |
| Object | mid-40s (approximate) |
—
|
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: mid-40s (approximate) | Statement: [Samuel Drake, ageInUncharted4, mid-40s (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInUncharted4 Context triple: [Samuel Drake, ageInUncharted4, mid-40s (approximate)]
-
A.
roleInUncharted4
Indicates that an entity has a specific role or involvement in the video game "Uncharted 4."
-
B.
ageAtMassEffect1
Indicates the age an entity has at the time of the events of Mass Effect 1.
-
C.
hasAgeingProtagonist
Indicates that the work features a main character who is experiencing aging or the later stages of life as a central aspect of their role or development.
-
D.
roleInRelationTo Nathan Drake
Indicates the specific role or capacity an entity has in relation to Nathan Drake within a given context or interaction.
-
E.
protagonistAgeRelativeToPrequel
Indicates how the protagonist’s age in the current work compares to their age in a preceding prequel story.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:06 a.m.