Triple
T17490892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heed The Call |
E425906
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Heed The Call |
—
|
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: Heed The Call | Statement: [Heed The Call, title, Heed The Call]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heed The Call Context triple: [Heed The Call, title, Heed The Call]
-
A.
Heed The Call
chosen
"Heed The Call" is a song featured on Kenny Rogers and The First Edition’s 1970 album *Tell It All Brother*.
-
B.
I Hear a Call
"I Hear a Call" is a country song recorded by Emmylou Harris for her 1993 album "Cowgirl's Prayer."
-
C.
Call the Man
"Call the Man" is a power ballad by Celine Dion, featured on her 1996 album *Falling into You*.
-
D.
A Friendly Call
"A Friendly Call" is an 1895 oil painting by American Impressionist William Merritt Chase, depicting two elegantly dressed women conversing in a refined domestic interior.
-
E.
On Call
"On Call" is a collection of essays by poet and activist June Jordan that blends personal narrative with incisive commentary on race, gender, politics, and social justice.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d519488190a08da1b529c08445 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:48 a.m.