Triple
T16499417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bed-in for Peace in Montreal |
E400763
|
entity |
| Predicate | recordedSong |
P9348
|
FINISHED |
| Object | Give Peace a Chance |
E149200
|
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: Give Peace a Chance | Statement: [Bed-in for Peace in Montreal, recordedSong, Give Peace a Chance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Give Peace a Chance Context triple: [Bed-in for Peace in Montreal, recordedSong, Give Peace a Chance]
-
A.
Give Peace a Chance
chosen
"Give Peace a Chance" is an anti-war protest song written by John Lennon that became an anthem of the 1960s peace movement.
-
B.
Say Peace
"Say Peace" is a socially conscious hip-hop track by Common that promotes unity and nonviolence, featured on his album *A Beautiful Revolution Pt. 1*.
-
C.
Make Peace or Die
"Make Peace or Die" is the fierce and uncompromising motto of the U.S. Marine Corps' 5th Marine Regiment, reflecting its warrior ethos and readiness for combat.
-
D.
We Got to Have Peace
"We Got to Have Peace" is a socially conscious soul song by Curtis Mayfield that calls for unity and an end to violence.
-
E.
Forever Peace
Forever Peace is a science fiction novel by Joe Haldeman that explores themes of war, technology, and identity in a near-future setting.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e35b96881908c9d339eea9e4314 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a31c8881909b05c49c8006785d |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.