Triple
T3146404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take-Two Interactive |
E65773
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | Zynga |
E331665
|
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: Zynga | Statement: [Take-Two Interactive, acquired, Zynga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zynga Context triple: [Take-Two Interactive, acquired, Zynga]
-
A.
Zynga
chosen
Zynga is a video game developer and publisher best known for its popular social and mobile games such as FarmVille and Words With Friends.
-
B.
Rovio Entertainment
Rovio Entertainment is a Finnish video game developer and entertainment company best known for creating the Angry Birds franchise.
-
C.
Playfish
Playfish was a pioneering social gaming company best known for creating popular Facebook and mobile games before being acquired by Electronic Arts.
-
D.
Meta
Meta is a multinational technology company best known as the parent of Facebook, Instagram, and WhatsApp, focusing on social media platforms and virtual/augmented reality technologies.
-
E.
Playground Games
Playground Games is a British video game developer best known for creating the Forza Horizon open-world racing series.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada598ccf08190b8817c456f38f2d7 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b42fd948190bc9bcf44692c84ca |
completed | March 12, 2026, 5:12 a.m. |
Created at: March 8, 2026, 3:05 p.m.