Triple
T8396810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgo Collaboration |
E198072
|
entity |
| Predicate | dataTakingRun |
P5354
|
FINISHED |
| Object |
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.
|
E730524
|
NE FINISHED |
How this triple was built (4 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: [Virgo Collaboration, dataTakingRun, O2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O2 Context triple: [Virgo Collaboration, dataTakingRun, O2]
-
A.
O2
O2 is a major UK mobile network operator and telecommunications services provider owned by Telefónica.
-
B.
Oxygen
Oxygen is an American television network primarily known for its true-crime and reality programming, targeting a female-oriented audience.
-
C.
Oxygène
Oxygène is a landmark 1976 electronic music album by French composer Jean-Michel Jarre, renowned for its atmospheric synthesizer soundscapes and major influence on the genre.
-
D.
Oxy
Oxy is the commonly used nickname for Occidental College, a private liberal arts college in Los Angeles, California.
-
E.
O.
O. is the middle initial of Mark O. Hatfield, the long-serving U.S. Senator and former Governor of Oregon.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: O2 Triple: [Virgo Collaboration, dataTakingRun, O2]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: O2 Target entity description: 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.
-
A.
O2
O2 is a major UK mobile network operator and telecommunications services provider owned by Telefónica.
-
B.
Oxygen
Oxygen is an American television network primarily known for its true-crime and reality programming, targeting a female-oriented audience.
-
C.
Oxygène
Oxygène is a landmark 1976 electronic music album by French composer Jean-Michel Jarre, renowned for its atmospheric synthesizer soundscapes and major influence on the genre.
-
D.
Oxy
Oxy is the commonly used nickname for Occidental College, a private liberal arts college in Los Angeles, California.
-
E.
O.
O. is the middle initial of Mark O. Hatfield, the long-serving U.S. Senator and former Governor of Oregon.
- F. None of above. chosen
Provenance (5 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb818893348190a6ea2ff6a2e3e491 |
completed | March 31, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde867d21c8190b066a6c88273ec5a |
completed | April 2, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69cdebfd60188190a1681344e2bf1e9e |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cded2fa42c8190bfbfc79caf38bf8e |
completed | April 2, 2026, 4:14 a.m. |
Created at: March 30, 2026, 6:04 p.m.