Triple
T16751127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Aubrey |
E407080
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
TBS
TBS is an American cable television network known for its comedy programming, syndicated sitcoms, and sports broadcasts.
|
E3613
|
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: TBS | Statement: [Sarah Aubrey, employer, TBS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TBS Context triple: [Sarah Aubrey, employer, TBS]
-
A.
TBS
TBS is the United States Marine Corps’ primary officer training and education institution where newly commissioned officers learn the fundamentals of leading Marines.
-
B.
TBS
TBS is the three-letter IATA airport code for Tbilisi International Airport, serving the capital city of Georgia.
-
C.
TBS
TBS is a major Japanese television network known for broadcasting popular anime and drama series.
-
D.
TBS
TBS is a major Japanese television network known for broadcasting a wide range of popular anime, dramas, and variety programs.
-
E.
TBS
TBS is a major Japanese television network known for broadcasting a wide range of anime, dramas, and variety programs.
- 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: TBS Triple: [Sarah Aubrey, employer, TBS]
Generated description
TBS is an American cable television network known for its comedy programming, syndicated sitcoms, and sports broadcasts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TBS Target entity description: TBS is an American cable television network known for its comedy programming, syndicated sitcoms, and sports broadcasts.
-
A.
TBS
chosen
TBS is an American cable television network known for airing comedy programming, movies, and major sports events, including NCAA Division I Men’s Basketball Tournament games.
-
B.
TBS
TBS is a major Japanese television network known for broadcasting a wide range of popular anime, dramas, and variety programs.
-
C.
TBS
TBS is a major Japanese television network known for broadcasting a wide range of anime, dramas, and variety programs.
-
D.
TBS
TBS is a major Japanese television network known for broadcasting popular anime and drama series.
-
E.
TBS
TBS is the United States Marine Corps’ primary officer training and education institution where newly commissioned officers learn the fundamentals of leading Marines.
- F. None of above.
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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa271de48190b4a535408aeef734 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52402848190b029cb0be31b4c74 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5c4e934819088db49d81be154c3 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6b84d288190aeccb06745146b80 |
completed | May 10, 2026, 3:39 p.m. |
Created at: April 10, 2026, 5:21 a.m.