Triple
T15920072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibrahim Maalouf |
E386067
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Wind |
E386071
|
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: Wind | Statement: [Ibrahim Maalouf, notableWork, Wind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wind Context triple: [Ibrahim Maalouf, notableWork, Wind]
-
A.
Wind
chosen
"Wind" is a jazz album by Franco-Lebanese trumpeter and composer Ibrahim Maalouf, showcasing his distinctive blend of Middle Eastern influences and contemporary jazz.
-
B.
Wind
"Wind" is a 1992 sports drama film directed by Carroll Ballard that centers on competitive yacht racing and the America's Cup.
-
C.
Windy
Windy is the costumed mascot character for the Wichita Wind Surge minor league baseball team, entertaining fans at games and team events.
-
D.
Breeze
Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
-
E.
ForWind
ForWind is a German research center dedicated to advancing wind energy science and technology through interdisciplinary research and collaboration.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15680c7b881909150f8b53bc058d4 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a96e508190a64c2be6dc506e86 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.