Triple
T18301364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yahoo! Answers |
E438364
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Oath Inc. |
E22481
|
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: Oath Inc. | Statement: [Yahoo! Answers, ownedBy, Oath Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oath Inc. Context triple: [Yahoo! Answers, ownedBy, Oath Inc.]
-
A.
Oath Inc.
chosen
Oath Inc. was a Verizon-owned digital media and advertising company formed from the merger of AOL and Yahoo.
-
B.
Ostar Enterprises
Ostar Enterprises is a television and film production company known for developing and producing scripted entertainment projects.
-
C.
Omar Associates
Omar Associates is a Pakistani business group best known in sports for owning the Pakistan Super League franchise Quetta Gladiators.
-
D.
OCT Group
OCT Group is a major Chinese state-owned enterprise best known for developing and operating large-scale cultural tourism, theme parks, and real estate projects across China.
-
E.
Ogiens/Kane Company
Ogiens/Kane Company is a television production company best known for producing the Western drama series "The Young Riders."
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017f63dc819083a675d570620f2f |
completed | April 19, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb5e1fb481908a0b98ea130eda71 |
completed | May 12, 2026, 11:44 p.m. |
Created at: April 10, 2026, 10:35 a.m.