Triple
T19862223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mick Fleetwood |
E477291
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tusk
Tusk is a 1979 double album by Fleetwood Mac, known for its experimental production and ambitious scope following the massive success of Rumours.
|
E1400649
|
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: Tusk | Statement: [Mick Fleetwood, notableWork, Tusk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tusk Context triple: [Mick Fleetwood, notableWork, Tusk]
-
A.
Tusk
Tusk is a 2014 horror-comedy film written and directed by Kevin Smith about a podcaster who is grotesquely transformed into a walrus by a deranged seafarer.
-
B.
Tusk
Tusk is a Polish surname most prominently associated with Donald Tusk, a leading Polish and European Union politician.
-
C.
Tusk
Tusk is the live Russian boar mascot that represents the University of Arkansas Razorbacks football team at games and events.
-
D.
Komo
Komo is a town located in Hela Province in the Highlands region of Papua New Guinea.
-
E.
Komo
The Komo are an ethnic group indigenous to western Ethiopia, particularly associated with the Gambela Region, with their own distinct language and cultural traditions.
- 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: Tusk Triple: [Mick Fleetwood, notableWork, Tusk]
Generated description
Tusk is a 1979 double album by Fleetwood Mac, known for its experimental production and ambitious scope following the massive success of Rumours.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tusk Target entity description: Tusk is a 1979 double album by Fleetwood Mac, known for its experimental production and ambitious scope following the massive success of Rumours.
-
A.
Tusk
Tusk is the live Russian boar mascot that represents the University of Arkansas Razorbacks football team at games and events.
-
B.
Tusk
Tusk is a 2014 horror-comedy film written and directed by Kevin Smith about a podcaster who is grotesquely transformed into a walrus by a deranged seafarer.
-
C.
Tusk
Tusk is a Polish surname most prominently associated with Donald Tusk, a leading Polish and European Union politician.
-
D.
Komo
The Komo are an ethnic group indigenous to western Ethiopia, particularly associated with the Gambela Region, with their own distinct language and cultural traditions.
-
E.
Komo
Komo is a town located in Hela Province in the Highlands region of Papua New Guinea.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589b3cbc8190afe847e83f04c45b |
completed | April 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea37b6f48190bf921fd101086d7e |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07eb4daeb48190b31bf52ea1fa758c |
completed | May 16, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ebde7f9c8190b39f53d5598d8bd7 |
completed | May 16, 2026, 4 a.m. |
Created at: April 10, 2026, 1:51 p.m.