Triple
T17926557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OK |
E448209
|
entity |
| Predicate | hasLyricsBy |
P1141
|
FINISHED |
| Object |
Ed Drewett
Ed Drewett is a British singer-songwriter best known for co-writing major pop hits for artists such as One Direction, Little Mix, and The Wanted.
|
E1337126
|
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: Ed Drewett | Statement: [OK, hasLyricsBy, Ed Drewett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Drewett Context triple: [OK, hasLyricsBy, Ed Drewett]
-
A.
Martin Drewes
Martin Drewes was a highly successful German Luftwaffe night fighter ace of World War II, credited with numerous aerial victories during nocturnal operations.
-
B.
Douglas Brunt
Douglas Brunt is an American novelist and former CEO of the cybersecurity firm Authentium, known also as the husband of journalist Megyn Kelly.
-
C.
Chris Blunden
Chris Blunden is a film editor known for his work on the 1997 comedy film "Bean."
-
D.
Greg Morris
Greg Morris was an American actor best known for his role as electronics expert Barney Collier on the television series "Mission: Impossible."
-
E.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
- 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: Ed Drewett Triple: [OK, hasLyricsBy, Ed Drewett]
Generated description
Ed Drewett is a British singer-songwriter best known for co-writing major pop hits for artists such as One Direction, Little Mix, and The Wanted.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ed Drewett Target entity description: Ed Drewett is a British singer-songwriter best known for co-writing major pop hits for artists such as One Direction, Little Mix, and The Wanted.
-
A.
Martin Drewes
Martin Drewes was a highly successful German Luftwaffe night fighter ace of World War II, credited with numerous aerial victories during nocturnal operations.
-
B.
Douglas Brunt
Douglas Brunt is an American novelist and former CEO of the cybersecurity firm Authentium, known also as the husband of journalist Megyn Kelly.
-
C.
Chris Blunden
Chris Blunden is a film editor known for his work on the 1997 comedy film "Bean."
-
D.
Greg Morris
Greg Morris was an American actor best known for his role as electronics expert Barney Collier on the television series "Mission: Impossible."
-
E.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54f29a88190b035d8473765bde5 |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0523378d4c819089267d083cd93008 |
completed | May 14, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_6a05245195c481909ed151ecf0cf4ef5 |
completed | May 14, 2026, 1:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0524ac872081908171904794479a1c |
completed | May 14, 2026, 1:26 a.m. |
Created at: April 10, 2026, 10:20 a.m.