Triple
T5264411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Keery |
E118903
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
AWAL
AWAL is a music distribution and services company that supports independent artists with digital releases, marketing, and data-driven promotion.
|
E507341
|
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: AWAL | Statement: [Joe Keery, recordLabel, AWAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWAL Context triple: [Joe Keery, recordLabel, AWAL]
-
A.
AW
AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
-
B.
AW
AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
-
C.
WAW
WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
-
D.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
E.
Begnins
Begnins is a small municipality in the canton of Vaud in western Switzerland, situated in the La Côte wine-growing region between Lake Geneva and the Jura Mountains.
- 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: AWAL Triple: [Joe Keery, recordLabel, AWAL]
Generated description
AWAL is a music distribution and services company that supports independent artists with digital releases, marketing, and data-driven promotion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AWAL Target entity description: AWAL is a music distribution and services company that supports independent artists with digital releases, marketing, and data-driven promotion.
-
A.
AW
AW is the two-letter ISO 3166-1 alpha-2 country code assigned to Aruba.
-
B.
AW
AW is a German vehicle registration code associated with the district that includes the town of Remagen in the state of Rhineland-Palatinate.
-
C.
WAW
WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
-
D.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
E.
Begnins
Begnins is a small municipality in the canton of Vaud in western Switzerland, situated in the La Côte wine-growing region between Lake Geneva and the Jura Mountains.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd4a9888190a79ef8e64c764f86 |
completed | March 20, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe8b787881909be9c01d1ba52561 |
completed | March 21, 2026, 8:24 p.m. |
| NEDg | Description generation | batch_69beff76290c819099a08cd1d5397004 |
completed | March 21, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69befffc0e388190a02624d4f466a2a9 |
completed | March 21, 2026, 8:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.