Triple
T19444772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traci Lind |
E486444
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
My Boyfriend's Back
"My Boyfriend's Back" is a 1993 horror-comedy film about a teenage boy who returns from the dead as a zombie to take his dream girl to the prom.
|
E1377339
|
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: My Boyfriend's Back | Statement: [Traci Lind, notableWork, My Boyfriend's Back]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Boyfriend's Back Context triple: [Traci Lind, notableWork, My Boyfriend's Back]
-
A.
I Have a Boyfriend
"I Have a Boyfriend" is a 1963 pop song by the American girl group The Chiffons, known for its catchy melody and classic early-1960s girl-group sound.
-
B.
Boyfriend
"Boyfriend" is a pop song by the American boy band Big Time Rush that became one of their signature hits, showcasing their catchy, teen-oriented sound.
-
C.
My Girlfriend
My Girlfriend is a woman with whom the speaker is in a romantic relationship.
-
D.
Kiss You Back
"Kiss You Back" is a 1991 funk-influenced hip hop song by Digital Underground known for its playful lyrics and Parliament-Funkadelic-inspired sound.
-
E.
Back to Love
"Back to Love" is a song featured on John Legend's album "All of Me."
- 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: My Boyfriend's Back Triple: [Traci Lind, notableWork, My Boyfriend's Back]
Generated description
"My Boyfriend's Back" is a 1993 horror-comedy film about a teenage boy who returns from the dead as a zombie to take his dream girl to the prom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: My Boyfriend's Back Target entity description: "My Boyfriend's Back" is a 1993 horror-comedy film about a teenage boy who returns from the dead as a zombie to take his dream girl to the prom.
-
A.
I Have a Boyfriend
"I Have a Boyfriend" is a 1963 pop song by the American girl group The Chiffons, known for its catchy melody and classic early-1960s girl-group sound.
-
B.
Boyfriend
"Boyfriend" is a pop song by the American boy band Big Time Rush that became one of their signature hits, showcasing their catchy, teen-oriented sound.
-
C.
My Girlfriend
My Girlfriend is a woman with whom the speaker is in a romantic relationship.
-
D.
Kiss You Back
"Kiss You Back" is a 1991 funk-influenced hip hop song by Digital Underground known for its playful lyrics and Parliament-Funkadelic-inspired sound.
-
E.
Back to Love
"Back to Love" is a song featured on John Legend's album "All of Me."
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338921cc819083f8f918225d78e6 |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b2b006c8190a31b9a282e4d26ad |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073bd8fd108190b4aa79dcdf3c2758 |
completed | May 15, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073c574c808190b2ae6df5477c27bb |
completed | May 15, 2026, 3:31 p.m. |
Created at: April 10, 2026, 1:38 p.m.