Triple
T20409605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamouna |
E500553
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Chain Reaction” |
—
|
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: “Chain Reaction” | Statement: [Mamouna, hasPart, “Chain Reaction”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Chain Reaction” Context triple: [Mamouna, hasPart, “Chain Reaction”]
-
A.
"Chain Reaction"
chosen
"Chain Reaction" is a pop song written and produced by Ben Findon, best known for its hit recording by Diana Ross in the mid-1980s.
-
B.
Chain Reaction
Chain Reaction is a 1980 British thriller film known for its gritty style and tense, action-driven narrative.
-
C.
Chain Reaction
Chain Reaction is a popular puzzle video game known for its chain-based reaction mechanics and strategic gameplay.
-
D.
Chain Reaction
Chain Reaction is an American television game show, created by producer Bob Stewart, in which contestants form chains of words that are linked together by association.
-
E.
“Turn Up the Music”
“Turn Up the Music” is a high-energy dance-pop song best known for its club-ready production and chart success, showcasing DJ Frank E’s mainstream pop and electronic production style.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.