Triple
T3120585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tipping Point |
E65172
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Boom! |
E328458
|
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: Boom! | Statement: [The Tipping Point, notableSingle, Boom!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boom! Context triple: [The Tipping Point, notableSingle, Boom!]
-
A.
Boom!
chosen
"Boom!" is a song featured on the album "The Tipping Point."
-
B.
Dynamite!
Dynamite! is a segment or component associated with the acclaimed novel "Things Fall Apart," likely representing an adaptation, chapter, or related creative work expanding on its themes.
-
C.
Kaboom Town!
Kaboom Town! is an annual Independence Day fireworks and entertainment festival held in Addison, Texas, known for one of the most spectacular pyrotechnic displays in the United States.
-
D.
Attack!
Attack! is a 1956 American World War II drama film directed by Robert Aldrich, noted for its intense portrayal of battlefield cowardice and moral conflict within a U.S. Army unit.
-
E.
Jump!
Jump! is a 1984 concept album by American composer Van Dyke Parks that blends orchestral pop and storytelling, inspired by the tales of Uncle Remus.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5295cd481908d52e165538c67fa |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224cf54088190a069b4eef0a5f7d2 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.