Triple
T6115533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawed Karim |
E136350
|
entity |
| Predicate | uploaded |
P15681
|
FINISHED |
| Object | Me at the zoo |
E13757
|
NE 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: Me at the zoo | Statement: [Jawed Karim, uploaded, Me at the zoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Me at the zoo Context triple: [Jawed Karim, uploaded, Me at the zoo]
-
A.
Me at the zoo
chosen
"Me at the zoo" is the first video ever uploaded to YouTube, featuring co-founder Jawed Karim at the San Diego Zoo and marking the platform's historic launch.
-
B.
Zoo
"Zoo" is a television drama series based on James Patterson’s novel, depicting a global uprising of animals against humanity.
-
C.
If I Ran the Zoo
If I Ran the Zoo is a Dr. Seuss–themed interactive play area and attraction located in the Seuss Landing section of Universal's Islands of Adventure.
-
D.
The Zoo
"The Zoo" is the raucous student section and fan base known for creating an intense home-field atmosphere at Arizona Stadium, home of the University of Arizona Wildcats football team.
-
E.
The Zoo
"The Zoo" is a popular nickname for Kalamazoo, Michigan, reflecting the city's lively character and strong local identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc246e48190b4f3d52eb682aa45 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1256aa9f8819090fdc98343af6f8e |
completed | March 23, 2026, 11:35 a.m. |
Created at: March 22, 2026, 4:14 p.m.