Triple
T23557637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borderline |
E579129
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | If You See Her |
—
|
NE NERFINISHED |
How this triple was built (2 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: If You See Her | Statement: [Borderline, followedBy, If You See Her]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If You See Her Context triple: [Borderline, followedBy, If You See Her]
-
A.
If You See Her
chosen
If You See Her is a 1998 country music album by the duo Brooks & Dunn featuring the hit title track and a blend of honky-tonk and contemporary country ballads.
-
B.
If You Could See Her
"If You Could See Her" is a satirical and controversial musical number from the stage and film versions of *Cabaret*, performed in the Kit Kat Klub to critique rising antisemitism in 1930s Berlin.
-
C.
Have You Seen Her
"Have You Seen Her" is a classic 1971 soul ballad by the Chi-Lites, co-written by Eugene Record, known for its emotive storytelling and smooth, orchestral R&B sound.
-
D.
If You See Her, Say Hello
"If You See Her, Say Hello" is a reflective, melancholic Bob Dylan song known for its themes of lost love and emotional distance.
-
E.
When You See Me
"When You See Me" is a crime thriller novel by Lisa Gardner that follows FBI profiler Kimberly Quincy and survivor-turned-vigilante Flora Dane as they uncover dark secrets tied to a serial killer’s past.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af659e9881908b527accfd2b1187 |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:12 p.m.