Triple
T14081217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take It to the Limit |
E338872
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object |
Joe Garvey
Joe Garvey is a musician known for performing the song "Take It to the Limit."
|
E1079271
|
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: Joe Garvey | Statement: [Take It to the Limit, performer, Joe Garvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Garvey Context triple: [Take It to the Limit, performer, Joe Garvey]
-
A.
Joe Garvey
Joe Garvey is a musician best known as a member of the American rock band Hinder.
-
B.
Joe Garvey
Joe Garvey is a performer known for his work with the band Extreme Behavior.
-
C.
Joe Gage
Joe Gage is a character in Quentin Tarantino’s film "The Hateful Eight," portrayed as a seemingly quiet cowboy whose true motives emerge amid the tense standoff in the isolated Snowbound Haberdashery.
-
D.
Marv Fleming
Marv Fleming is a former NFL tight end best known for winning multiple Super Bowls with the Green Bay Packers and Miami Dolphins, including being part of the Dolphins’ historic perfect season.
-
E.
Bill Calhoun
Bill Calhoun is a charming, gambling-prone dancer and actor who serves as one of the principal comic romantic leads in the musical "Kiss Me, Kate."
- 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: Joe Garvey Triple: [Take It to the Limit, performer, Joe Garvey]
Generated description
Joe Garvey is a musician known for performing the song "Take It to the Limit."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Garvey Target entity description: Joe Garvey is a musician known for performing the song "Take It to the Limit."
-
A.
Joe Garvey
Joe Garvey is a musician best known as a member of the American rock band Hinder.
-
B.
Joe Garvey
Joe Garvey is a performer known for his work with the band Extreme Behavior.
-
C.
Joe Gage
Joe Gage is a character in Quentin Tarantino’s film "The Hateful Eight," portrayed as a seemingly quiet cowboy whose true motives emerge amid the tense standoff in the isolated Snowbound Haberdashery.
-
D.
Marv Fleming
Marv Fleming is a former NFL tight end best known for winning multiple Super Bowls with the Green Bay Packers and Miami Dolphins, including being part of the Dolphins’ historic perfect season.
-
E.
Bill Calhoun
Bill Calhoun is a charming, gambling-prone dancer and actor who serves as one of the principal comic romantic leads in the musical "Kiss Me, Kate."
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a175a48190b596ea4cf917e80e |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd21a2a408190ab335e99fcbbd9ae |
completed | May 7, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd2e1b2ec81909caab1bfc6394258 |
completed | May 7, 2026, 5:58 p.m. |
Created at: April 9, 2026, 10:21 p.m.