Triple
T16779327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christine "Lady Bird" McPherson |
E407815
|
entity |
| Predicate | hasRomanticInterest |
P7325
|
FINISHED |
| Object |
Kyle Scheible
Kyle Scheible is the aloof, rebellious musician and love interest in the coming-of-age film "Lady Bird."
|
E1261117
|
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: Kyle Scheible | Statement: [Christine "Lady Bird" McPherson, hasRomanticInterest, Kyle Scheible]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyle Scheible Context triple: [Christine "Lady Bird" McPherson, hasRomanticInterest, Kyle Scheible]
-
A.
Jason Boesel
Jason Boesel is an American drummer and songwriter best known for his work with the band Rilo Kiley and collaborations with various indie rock artists.
-
B.
Josh Schaeffer
Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
-
C.
Jason Kehler
Jason Kehler is a sports administrator who serves as the athletic director for the Dolphins athletic program.
-
D.
Aaron Stecker
Aaron Stecker is a former American football running back best known for his NFL career with teams like the Tampa Bay Buccaneers and New Orleans Saints.
-
E.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
- 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: Kyle Scheible Triple: [Christine "Lady Bird" McPherson, hasRomanticInterest, Kyle Scheible]
Generated description
Kyle Scheible is the aloof, rebellious musician and love interest in the coming-of-age film "Lady Bird."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyle Scheible Target entity description: Kyle Scheible is the aloof, rebellious musician and love interest in the coming-of-age film "Lady Bird."
-
A.
Jason Boesel
Jason Boesel is an American drummer and songwriter best known for his work with the band Rilo Kiley and collaborations with various indie rock artists.
-
B.
Josh Schaeffer
Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
-
C.
Jason Kehler
Jason Kehler is a sports administrator who serves as the athletic director for the Dolphins athletic program.
-
D.
Aaron Stecker
Aaron Stecker is a former American football running back best known for his NFL career with teams like the Tampa Bay Buccaneers and New Orleans Saints.
-
E.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21401b881909bbbc7382e851a90 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180bf3d308190b4965d57fe327a52 |
completed | May 11, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_6a0181fcce3081909822812f113f24c8 |
completed | May 11, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0182ccd104819088569cf0be87b4d3 |
completed | May 11, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:22 a.m.