Triple
T11394389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Listening |
E269931
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | I Am Listening |
E269931
|
NE FINISHED |
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: I Am Listening | Statement: [I Am Listening, hasTitle, I Am Listening]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Am Listening Context triple: [I Am Listening, hasTitle, I Am Listening]
-
A.
I Am Listening
chosen
"I Am Listening" is a creative work whose title matches its own name, likely a book, song, or other media piece centered on themes of attention and communication.
-
B.
I Am Listening
"I Am Listening" is a work by acclaimed American playwright and director Moss Hart, known for his influential contributions to 20th-century theater.
-
C.
Listen to Me
"Listen to Me" is a crime thriller novel by Tess Gerritsen featuring her popular Rizzoli & Isles characters in a tense investigation that intertwines neighborhood secrets with a complex murder case.
-
D.
Listen to Me
"Listen to Me" is a 1989 American drama film about a college debate team, notable for featuring Jason Gould among its cast.
-
E.
Hear Me Now
"Hear Me Now" is a popular electronic dance music track by Brazilian DJ and producer Bruno Martini, known for its catchy melody and international chart success.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80018a58c81908b80dc9abd18d650 |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cb43b988190876af2de4be49628 |
completed | April 20, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:34 p.m.