Triple
T14376426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O2 |
E356485
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | O2 |
E356485
|
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: O2 | Statement: [O2, ownsBrand, O2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O2 Context triple: [O2, ownsBrand, O2]
-
A.
O2
O2 is the second observing run of the LIGO–Virgo gravitational-wave detectors, during which multiple gravitational-wave events from compact binary mergers were detected.
-
B.
O2
chosen
O2 is a major UK mobile network operator and telecommunications services provider owned by Telefónica.
-
C.
Oxygen
Oxygen is an American television network primarily known for its true-crime and reality programming, targeting a female-oriented audience.
-
D.
Oxygen
Oxygen is a 2021 French survival thriller film directed by Alexandre Aja, starring Mélanie Laurent as a woman who wakes up in a cryogenic chamber with no memory and limited time to escape.
-
E.
O3
O3 is the third observing run of the LIGO–Virgo gravitational-wave detector network, during which numerous gravitational-wave events from compact binary mergers were detected.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900949fc81909be0da1734c46645 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551002948190aeb93d245e1449a7 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.