Triple
T22591858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orkut |
E564968
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Google+ |
—
|
NE NERFINISHED |
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: Google+ | Statement: [Orkut, successor, Google+]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google+ Context triple: [Orkut, successor, Google+]
-
A.
Google+ (Google Plus)
chosen
Google+ (Google Plus) was Google’s now-defunct social networking platform designed to compete with Facebook by integrating social features across Google services.
-
B.
Orkut
Orkut was a social networking service owned and operated by Google that was especially popular in Brazil and India during the mid-2000s.
-
C.
Google Buzz
Google Buzz was a short-lived social networking and microblogging service from Google that integrated with Gmail to let users share updates, links, and media.
-
D.
OGLE
OGLE (Optical Gravitational Lensing Experiment) is a long-term astronomical survey focused on detecting dark matter, exoplanets, and variable stars through gravitational microlensing and photometric monitoring.
-
E.
Google Feed
Google Feed was a personalized content stream within the Google app that surfaced news, articles, and updates based on a user’s interests and activity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16162c2cc8190a506776ac52356d7 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:49 p.m.