Triple
T524243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl on Fire |
E10882
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Salaam Remi |
E65202
|
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: Salaam Remi | Statement: [Girl on Fire, producer, Salaam Remi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salaam Remi Context triple: [Girl on Fire, producer, Salaam Remi]
-
A.
Salaam Remi
chosen
Salaam Remi is an American record producer and songwriter best known for his work with artists like Amy Winehouse, Nas, and the Fugees, blending hip-hop, reggae, and soul influences.
-
B.
Rafi
Rafi was an Israeli political party founded by David Ben-Gurion in the 1960s after a split from Mapai, known for its activist and security-focused policies.
-
C.
Sami
Sami is a group of indigenous Uralic languages spoken by the Sámi people across northern parts of Norway, Sweden, Finland, and Russia.
-
D.
Malik
Malik is a common Arabic surname and given name used across various cultures, often meaning "king" or "owner."
-
E.
Ali
"Ali" is a biographical sports drama film about boxer Muhammad Ali, noted for Emmanuel Lubezki’s distinctive cinematography.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b5d50c688190b0093af8870f6fdf |
completed | March 1, 2026, 9:55 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.