Triple
T9059407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Win Butler |
E217082
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Liza Rey
Liza Rey is a musician and harpist known for her work in jazz and popular music, as well as for being part of a prominent musical family.
|
E777280
|
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: Liza Rey | Statement: [Win Butler, hasRelative, Liza Rey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liza Rey Context triple: [Win Butler, hasRelative, Liza Rey]
-
A.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
B.
Liza Todd
Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
-
C.
Alisa Reyes
Alisa Reyes is an American actress and voice actress best known as an original cast member of the Nickelodeon sketch comedy series "All That" and for voicing LaCienega Boulevardez on Disney Channel's "The Proud Family."
-
D.
Alexa Vega
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
-
E.
Liza Elliott
Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
- 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: Liza Rey Triple: [Win Butler, hasRelative, Liza Rey]
Generated description
Liza Rey is a musician and harpist known for her work in jazz and popular music, as well as for being part of a prominent musical family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liza Rey Target entity description: Liza Rey is a musician and harpist known for her work in jazz and popular music, as well as for being part of a prominent musical family.
-
A.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
B.
Liza Todd
Liza Todd is an American sculptor and the daughter of actress Elizabeth Taylor and producer Mike Todd.
-
C.
Alisa Reyes
Alisa Reyes is an American actress and voice actress best known as an original cast member of the Nickelodeon sketch comedy series "All That" and for voicing LaCienega Boulevardez on Disney Channel's "The Proud Family."
-
D.
Alexa Vega
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
-
E.
Liza Elliott
Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec924f481908ca2eac98c68a41d |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0178be518819080bd6c8cf0a737e8 |
completed | April 3, 2026, 7:39 p.m. |
| NEDg | Description generation | batch_69d01908d7b08190ab159048f25924d5 |
completed | April 3, 2026, 7:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d019b9be10819091e25d5b3a8d26c1 |
completed | April 3, 2026, 7:49 p.m. |
Created at: March 30, 2026, 7:10 p.m.